Triple

T12811066
Position Surface form Disambiguated ID Type / Status
Subject Peter Michael Goetz E306270 entity
Predicate notableWork P4 FINISHED
Object Glory (1989 film)
Glory (1989 film) is a 1989 American war drama about the first African-American regiment in the Union Army during the Civil War, acclaimed for its powerful performances and historical significance.
 E1005467 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: Glory (1989 film) | Statement: [Peter Michael Goetz, notableWork, Glory (1989 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glory (1989 film)
Context triple: [Peter Michael Goetz, notableWork, Glory (1989 film)]
  • A. Glory
    "Glory" is an Academy Award–winning civil rights anthem by John Legend and Common, written for the 2014 film *Selma* and celebrated for its powerful commentary on racial justice.
  • B. Glory
    Glory is the airline callsign used by UNI Air, a Taiwanese regional carrier.
  • C. Glory
    Glory is a feminine given name most notably associated with American professional basketball player Glory Johnson.
  • D. Glory
    "Glory" is a song performed by American singer Celia.
  • E. Glory
    "Glory" is a song by the American rock band Pippin, recognized as one of their notable tracks.
  • 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: Glory (1989 film)
Triple: [Peter Michael Goetz, notableWork, Glory (1989 film)]
Generated description
Glory (1989 film) is a 1989 American war drama about the first African-American regiment in the Union Army during the Civil War, acclaimed for its powerful performances and historical significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glory (1989 film)
Target entity description: Glory (1989 film) is a 1989 American war drama about the first African-American regiment in the Union Army during the Civil War, acclaimed for its powerful performances and historical significance.
  • A. Glory
    "Glory" is an Academy Award–winning civil rights anthem by John Legend and Common, written for the 2014 film *Selma* and celebrated for its powerful commentary on racial justice.
  • B. Glory
    Glory is the airline callsign used by UNI Air, a Taiwanese regional carrier.
  • C. Glory
    Glory is a feminine given name most notably associated with American professional basketball player Glory Johnson.
  • D. Glory
    "Glory" is a song performed by American singer Celia.
  • E. Glory
    "Glory" is a song by the American rock band Pippin, recognized as one of their notable tracks.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eca9b448190a819b3807fdbc3f8 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f69277d3d88190abce800c01a8026c completed May 3, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69f6938150608190a61206cefa3eca1e completed May 3, 2026, 12:14 a.m.
Created at: April 9, 2026, 5:31 p.m.