Triple

T9329163
Position Surface form Disambiguated ID Type / Status
Subject Philip H. Lathrop E224471 entity
Predicate givenName P17 FINISHED
Object Philip
Philip is the given name of Philip H. Lathrop, an American cinematographer known for his work on numerous Hollywood films.
E792469 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: Philip | Statement: [Philip H. Lathrop, givenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip
Context triple: [Philip H. Lathrop, givenName, Philip]
  • A. Philip
    Philip is the given first name of the renowned British actor Basil Rathbone, best known for his definitive film portrayals of Sherlock Holmes.
  • B. Philip
    Philip is the middle name of George Philip Wells, the zoologist son of author H. G. Wells.
  • C. Philip
    Philip is the given first name of the acclaimed Sri Lankan-born Canadian writer Michael Ondaatje, best known for his novel "The English Patient."
  • D. Philip
    Philip is the given name of Philip Freneau, an American poet often called the “Poet of the American Revolution.”
  • E. Philip
    Philip is the given name of the late American character actor Philip Baker Hall, known for his prolific work in film and television.
  • 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: Philip
Triple: [Philip H. Lathrop, givenName, Philip]
Generated description
Philip is the given name of Philip H. Lathrop, an American cinematographer known for his work on numerous Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philip
Target entity description: Philip is the given name of Philip H. Lathrop, an American cinematographer known for his work on numerous Hollywood films.
  • A. Philip
    Philip is the given name of the late American character actor Philip Baker Hall, known for his prolific work in film and television.
  • B. Philip
    Philip is the given name of the late American actor and director Philip Seymour Hoffman, renowned for his intense, character-driven performances.
  • C. Philip
    Philip is the given first name of American filmmaker Davis Guggenheim, known for directing documentaries such as "An Inconvenient Truth."
  • D. Philip
    Philip is the given name of Philip Sheridan, a prominent Union general in the American Civil War who later became Commanding General of the U.S. Army.
  • E. Philip
    Philip is the given name of Philip K. Dick, the influential American science fiction author known for his explorations of reality, identity, and dystopian futures.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e379a26c8190be2134fcec120f8e completed April 4, 2026, 10:10 a.m.
NEDg Description generation batch_69d0e502b68081909a9f9476421ba9b5 completed April 4, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69d0e5af7360819096c6295de0ce5f32 completed April 4, 2026, 10:19 a.m.
Created at: March 30, 2026, 7:39 p.m.