Triple

T19043228
Position Surface form Disambiguated ID Type / Status
Subject Freddie Francis E466061 entity
Predicate awardReceivedFor P107 FINISHED
Object Glory
Glory is a 1989 American war drama film about one of the first African-American regiments in the Union Army during the U.S. Civil War.
 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: [Freddie Francis, awardReceivedFor, Glory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glory
Context triple: [Freddie Francis, awardReceivedFor, Glory]
  • A. Glory
    Glory is the airline callsign used by UNI Air, a Taiwanese regional carrier.
  • B. Glory
    Glory is a feminine given name most notably associated with American professional basketball player Glory Johnson.
  • C. Glory
    "Glory" is a song performed by American singer Celia.
  • D. Glory
    "Glory" is a hip-hop track by American rapper Hodgy Beats that showcases his introspective lyrics and distinctive alternative rap style.
  • E. 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.
  • 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: [Freddie Francis, awardReceivedFor, Glory]
Generated description
Glory is a 1989 American war drama film about one of the first African-American regiments in the Union Army during the U.S. Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glory
Target entity description: Glory is a 1989 American war drama film about one of the first African-American regiments in the Union Army during the U.S. Civil War.
  • 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 performed by American singer Celia.
  • E. Glory
    Glory is a 2016 pop album by American singer Britney Spears that marked a stylistic evolution in her sound and received generally positive critical reception.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d801ef188190a231e85e1bbce037 completed April 20, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d35283008190a524702e999c2f17 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d3fe45c881908622e745b66abfd2 completed May 14, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a05d4b2292c8190bd4cd73969c610d8 completed May 14, 2026, 1:57 p.m.
Created at: April 10, 2026, 12:03 p.m.