Triple

T15941225
Position Surface form Disambiguated ID Type / Status
Subject Steven Rosenblum E386565 entity
Predicate notableWork P4 FINISHED
Object Glory
Glory is a critically acclaimed 1989 American war drama film about an African American regiment in the Civil War, noted for its powerful performances and historical significance.
 E178789 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 | Statement: [Steven Rosenblum, notableWork, Glory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glory
Context triple: [Steven Rosenblum, notableWork, Glory]
  • 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 hip-hop track by American rapper Hodgy Beats that showcases his introspective lyrics and distinctive alternative rap style.
  • 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
Triple: [Steven Rosenblum, notableWork, Glory]
Generated description
Glory is a critically acclaimed 1989 American war drama film about an African American regiment in the Civil War, noted for its powerful performances and historical significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glory
Target entity description: Glory is a critically acclaimed 1989 American war drama film about an African American regiment in the Civil War, noted for its powerful performances and historical significance.
  • A. Glory chosen
    "Glory" is a 1989 American war drama film about the first African-American regiment in the Union Army during the U.S. Civil War, acclaimed for its powerful performances and historical significance.
  • B. 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.
  • C. Glory
    "Glory" is a hip-hop track by American rapper Hodgy Beats that showcases his introspective lyrics and distinctive alternative rap style.
  • D. Glory
    "Glory" is a song by the American rock band Pippin, recognized as one of their notable tracks.
  • E. Glory
    "Glory" is a song performed by American singer Celia.
  • F. None of above.

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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5bbc07c819098fd768e2e6b5b3e completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb706eb348190baba254656fc0e71 completed May 9, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7812bf08190918c1410565633e2 completed May 9, 2026, 10:38 p.m.
Created at: April 10, 2026, 4:53 a.m.