Triple

T5293435
Position Surface form Disambiguated ID Type / Status
Subject Avatar (film score) E119796 entity
Predicate hasTrack P3284 FINISHED
Object War
"War" is a musical track from the film score of James Cameron's 2009 science fiction epic "Avatar," composed by James Horner.
 E507848 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: War | Statement: [Avatar (film score), hasTrack, War]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: War
Context triple: [Avatar (film score), hasTrack, War]
  • A. War
    War is U2’s politically charged 1983 rock album known for its anthemic songs and focus on themes of conflict and social justice.
  • B. War
    War is a small town in McDowell County, West Virginia, known as one of the southernmost communities in the state and for its history as a coal mining town.
  • C. WAR
    WAR is the commonly used abbreviation for the Warrington Wolves, a professional rugby league club based in Warrington, England.
  • D. Overseas War
    Overseas War is an alternative name for the Portuguese Colonial War, a mid-20th-century conflict in which Portugal fought independence movements in its African colonies.
  • E. One War
    One War is a Russian film directed by Vera Glagoleva that portrays the struggles and moral complexities faced by women during World War II.
  • 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: War
Triple: [Avatar (film score), hasTrack, War]
Generated description
"War" is a musical track from the film score of James Cameron's 2009 science fiction epic "Avatar," composed by James Horner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: War
Target entity description: "War" is a musical track from the film score of James Cameron's 2009 science fiction epic "Avatar," composed by James Horner.
  • A. War
    War is U2’s politically charged 1983 rock album known for its anthemic songs and focus on themes of conflict and social justice.
  • B. War
    War is a small town in McDowell County, West Virginia, known as one of the southernmost communities in the state and for its history as a coal mining town.
  • C. WAR
    WAR is the commonly used abbreviation for the Warrington Wolves, a professional rugby league club based in Warrington, England.
  • D. Overseas War
    Overseas War is an alternative name for the Portuguese Colonial War, a mid-20th-century conflict in which Portugal fought independence movements in its African colonies.
  • E. One War
    One War is a Russian film directed by Vera Glagoleva that portrays the struggles and moral complexities faced by women during World War II.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eec0c081908da5fad1b1fff9d6 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f3c7508190be98e08cef130a4d completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf07f9ef048190a5f726c1e603ccc9 completed March 21, 2026, 9:04 p.m.
NED2 Entity disambiguation (via description) batch_69bf08a498288190bbb8cb0f407ef896 completed March 21, 2026, 9:07 p.m.
Created at: March 20, 2026, 1:52 p.m.