Triple

T17748163
Position Surface form Disambiguated ID Type / Status
Subject Helstrom E443039 entity
Predicate leadActor P1507 FINISHED
Object Robert Wisdom NE NERFINISHED

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 Wisdom | Statement: [Helstrom, leadActor, Robert Wisdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Wisdom
Context triple: [Helstrom, leadActor, Robert Wisdom]
  • A. Robert Wisdom chosen
    Robert Wisdom is an American actor best known for his role as Major Howard "Bunny" Colvin on the television series "The Wire."
  • B. Archie Marshek
    Archie Marshek was an American film editor known for his work during Hollywood’s early sound era, including editing the 1932 thriller "The Most Dangerous Game."
  • C. Neil Gehrels
    Neil Gehrels was an influential American astrophysicist known for his pioneering work in gamma-ray astronomy and leadership of major space observatory missions.
  • D. Tom Gehrels
    Tom Gehrels was a Dutch–American astronomer known for his pioneering work in planetary science, photometry, and asteroid and comet surveys.
  • E. George H. Dickey
    George H. Dickey was an American politician after whom Dickey County in North Dakota was named.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad46a50819089c87f74efe3c7ca completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:10 a.m.