Triple

T6124251
Position Surface form Disambiguated ID Type / Status
Subject William Calley E136555 entity
Predicate honorOrAwardRevoked P68281 FINISHED
Object military decorations related to Vietnam service LITERAL FINISHED

How this triple was built (2 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: military decorations related to Vietnam service | Statement: [William Calley, honorOrAwardRevoked, military decorations related to Vietnam service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: honorOrAwardRevoked
Context triple: [William Calley, honorOrAwardRevoked, military decorations related to Vietnam service]
  • A. notAwardedFor
    Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
  • B. renouncedBy
    Indicates that an entity has been formally rejected, disowned, or given up by another entity.
  • C. awardStatus
    Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
  • D. citizenshipRevokedBy
    Indicates that an entity’s citizenship was formally withdrawn or canceled by another specified authority or agent.
  • E. rejectedAward
    Indicates that an entity refused to accept or declined an award that was offered or granted to it.
  • F. None of above. chosen

Provenance (4 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c25976081909e0a40e07dff0b8a completed March 22, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69c049f9ab3c81909c8ab6466f6a2935 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8e3f2c8190be459ca02f9b315a completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:14 p.m.