Triple

T3783784
Position Surface form Disambiguated ID Type / Status
Subject Battleship E85477 entity
Predicate character P662 FINISHED
Object Samantha Shane
Samantha Shane is a U.S. Navy petty officer and physical therapist who becomes a key member of the human resistance against an alien invasion in the science-fiction film "Battleship."
 E388175 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: Samantha Shane | Statement: [Battleship, character, Samantha Shane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samantha Shane
Context triple: [Battleship, character, Samantha Shane]
  • A. Sara Shane
    Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
  • B. Samantha Bryant
    Samantha Bryant is an American publicist and former production assistant best known as the wife of actor Colin Hanks.
  • C. Samantha Thompson
    Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
  • D. Shanley Caswell
    Shanley Caswell is an American actress best known for her role as Andrea Perron in the supernatural horror film "The Conjuring."
  • E. Shyla Leary
    Shyla Leary is known as the spouse of acclaimed American novelist John Irving.
  • 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: Samantha Shane
Triple: [Battleship, character, Samantha Shane]
Generated description
Samantha Shane is a U.S. Navy petty officer and physical therapist who becomes a key member of the human resistance against an alien invasion in the science-fiction film "Battleship."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samantha Shane
Target entity description: Samantha Shane is a U.S. Navy petty officer and physical therapist who becomes a key member of the human resistance against an alien invasion in the science-fiction film "Battleship."
  • A. Sara Shane
    Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
  • B. Samantha Bryant
    Samantha Bryant is an American publicist and former production assistant best known as the wife of actor Colin Hanks.
  • C. Samantha Thompson
    Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
  • D. Shanley Caswell
    Shanley Caswell is an American actress best known for her role as Andrea Perron in the supernatural horror film "The Conjuring."
  • E. Shyla Leary
    Shyla Leary is known as the spouse of acclaimed American novelist John Irving.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dc6590819098dda08206206612 completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04747448190be484cda5b2a7a8c completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f1730bbc8190a2f5f70ebc5a528a completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f2538eac81908a6c85ddab4e2356 completed March 14, 2026, 5:29 a.m.
Created at: March 9, 2026, 3:13 p.m.