Triple

T22984858
Position Surface form Disambiguated ID Type / Status
Subject No. 67 (Joe Romig) E571577 entity
Predicate positionAssociatedWithHonoree P98523 FINISHED
Object guard 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: guard | Statement: [No. 67 (Joe Romig), positionAssociatedWithHonoree, guard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionAssociatedWithHonoree
Context triple: [No. 67 (Joe Romig), positionAssociatedWithHonoree, guard]
  • A. positionOfHonoree
    Indicates the specific role, title, or rank held by the honoree within the context of the honoring event or recognition.
  • B. namedForEventAssociatedWithHonoree
    Indicates that something is named in recognition of an event that is closely associated with the honoree.
  • C. honorificAssociation
    Indicates a relationship in which one entity is formally associated with another through a title, honorific, or mark of respect.
  • D. namedPersonAssociation
    Indicates a relationship where one entity is associated with or identified by a specific personal name.
  • E. positionAssociatedWith chosen
    Indicates a relationship where a specific role, job, or position is linked or connected to a particular entity, context, or resource.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18298637c819086fca34d55bad22d completed April 29, 2026, 4:01 a.m.
PD Predicate disambiguation batch_69ef3b974e7c8190b8be11dbb4518693 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:49 p.m.