Triple

T12901330
Position Surface form Disambiguated ID Type / Status
Subject Tom Paris E308618 entity
Predicate portrayedBy P1507 FINISHED
Object Robert Duncan McNeill E778103 NE 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: Robert Duncan McNeill | Statement: [Tom Paris, portrayedBy, Robert Duncan McNeill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Duncan McNeill
Context triple: [Tom Paris, portrayedBy, Robert Duncan McNeill]
  • A. Robert Duncan McNeill chosen
    Robert Duncan McNeill is an American actor and director best known for playing Lieutenant Tom Paris on the television series Star Trek: Voyager.
  • B. Robert McNeill
    Robert McNeill is known as the husband of American actress Trini Alvarado.
  • C. Ronald Kinnoch
    Ronald Kinnoch was a British film producer best known for his work on mid-20th-century genre films, including influential science fiction and horror titles.
  • D. Roger Neill
    Roger Neill is an American composer best known for his film and television scores, including his work on the acclaimed drama "20th Century Women."
  • E. Robert MacNeil
    Robert MacNeil is a Canadian-American journalist and author best known for co-creating and co-anchoring the long-running public television news program that became PBS NewsHour.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af59f3cc81908c99bcde43e724e6 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:40 p.m.