Triple

T12503801
Position Surface form Disambiguated ID Type / Status
Subject 54th Massachusetts Volunteer Infantry Regiment E298893 entity
Predicate portrayedIn P626 FINISHED
Object film "Glory"
"Glory" is a 1989 American war drama film that tells the story of one of the first African American regiments in the Union Army during the American Civil War, highlighting their bravery and struggle against racism.
 E987390 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: film "Glory" | Statement: [54th Massachusetts Volunteer Infantry Regiment, portrayedIn, film "Glory"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: film "Glory"
Context triple: [54th Massachusetts Volunteer Infantry Regiment, portrayedIn, film "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 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: film "Glory"
Triple: [54th Massachusetts Volunteer Infantry Regiment, portrayedIn, film "Glory"]
Generated description
"Glory" is a 1989 American war drama film that tells the story of one of the first African American regiments in the Union Army during the American Civil War, highlighting their bravery and struggle against racism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: film "Glory"
Target entity description: "Glory" is a 1989 American war drama film that tells the story of one of the first African American regiments in the Union Army during the American Civil War, highlighting their bravery and struggle against racism.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb5af708190b3786da334c3bf23 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce0ca288190bbbcb5459f914c19 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64df6488481909dea8387e7000d15 completed May 2, 2026, 7:18 p.m.
Created at: April 8, 2026, 9:57 p.m.