Triple

T12425479
Position Surface form Disambiguated ID Type / Status
Subject Richard Crenna as Colonel Sam Trautman E296887 entity
Predicate militaryRankInFiction P342 FINISHED
Object Colonel 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: Colonel | Statement: [Richard Crenna as Colonel Sam Trautman, militaryRankInFiction, Colonel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryRankInFiction
Context triple: [Richard Crenna as Colonel Sam Trautman, militaryRankInFiction, Colonel]
  • A. militaryRank chosen
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • B. namedForMilitaryRank
    Indicates that one entity is named after or in honor of a specific military rank held by a person or associated with a military position.
  • C. militaryRankScope
    Indicates the hierarchical level or range of authority that a military rank applies to within an organizational or operational context.
  • D. isMilitaryRank
    Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
  • E. producedMilitaryRank
    Indicates that one entity is responsible for conferring, generating, or resulting in the military rank held by another entity.
  • F. None of above.

Provenance (3 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69d94d391c548190996a8c698357f273 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.