Triple

T14196569
Position Surface form Disambiguated ID Type / Status
Subject Robert Leckie E351851 entity
Predicate notableWork P4 FINISHED
Object A Helmet for My Pillow: From Parris Island to the Pacific
"A Helmet for My Pillow: From Parris Island to the Pacific" is Robert Leckie’s acclaimed World War II memoir recounting his experiences as a U.S. Marine in the Pacific theater.
 E1084930 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: A Helmet for My Pillow: From Parris Island to the Pacific | Statement: [Robert Leckie, notableWork, A Helmet for My Pillow: From Parris Island to the Pacific]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A Helmet for My Pillow: From Parris Island to the Pacific
Context triple: [Robert Leckie, notableWork, A Helmet for My Pillow: From Parris Island to the Pacific]
  • A. The Old Breed
    The Old Breed is the storied 1st Marine Division of the United States Marine Corps, renowned for its fierce combat record and enduring traditions.
  • B. Crossroads of the Marine Corps
    Crossroads of the Marine Corps is the nickname for Marine Corps Base Quantico, a major United States Marine Corps installation in Virginia known as a central hub for training, education, and command.
  • C. Jarhead: A Marine's Chronicle of the Gulf War and Other Battles
    "Jarhead: A Marine's Chronicle of the Gulf War and Other Battles" is a memoir by former U.S. Marine Anthony Swofford recounting his experiences as a sniper during the Gulf War and his reflections on military life and its psychological impact.
  • D. The Fighting Seabees
    The Fighting Seabees is a 1944 World War II action film starring John Wayne that dramatizes the formation and combat role of the U.S. Navy Construction Battalions, known as the Seabees.
  • E. Witness to War
    Witness to War is a documentary-style film by Australian artist and filmmaker George Gittoes that explores the human impact and brutal realities of armed conflict.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A Helmet for My Pillow: From Parris Island to the Pacific
Triple: [Robert Leckie, notableWork, A Helmet for My Pillow: From Parris Island to the Pacific]
Generated description
"A Helmet for My Pillow: From Parris Island to the Pacific" is Robert Leckie’s acclaimed World War II memoir recounting his experiences as a U.S. Marine in the Pacific theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A Helmet for My Pillow: From Parris Island to the Pacific
Target entity description: "A Helmet for My Pillow: From Parris Island to the Pacific" is Robert Leckie’s acclaimed World War II memoir recounting his experiences as a U.S. Marine in the Pacific theater.
  • A. The Old Breed
    The Old Breed is the storied 1st Marine Division of the United States Marine Corps, renowned for its fierce combat record and enduring traditions.
  • B. Crossroads of the Marine Corps
    Crossroads of the Marine Corps is the nickname for Marine Corps Base Quantico, a major United States Marine Corps installation in Virginia known as a central hub for training, education, and command.
  • C. Jarhead: A Marine's Chronicle of the Gulf War and Other Battles
    "Jarhead: A Marine's Chronicle of the Gulf War and Other Battles" is a memoir by former U.S. Marine Anthony Swofford recounting his experiences as a sniper during the Gulf War and his reflections on military life and its psychological impact.
  • D. The Fighting Seabees
    The Fighting Seabees is a 1944 World War II action film starring John Wayne that dramatizes the formation and combat role of the U.S. Navy Construction Battalions, known as the Seabees.
  • E. Witness to War
    Witness to War is a documentary-style film by Australian artist and filmmaker George Gittoes that explores the human impact and brutal realities of armed conflict.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ab3f83881908113259c23fe1028 completed May 7, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fd1b87a0c48190a68367525ed9d2cb completed May 7, 2026, 11:08 p.m.
Created at: April 10, 2026, 1:04 a.m.