Triple

T14429899
Position Surface form Disambiguated ID Type / Status
Subject Martin Ransohoff E357794 entity
Predicate workedOn P3 FINISHED
Object Silver Streak E49195 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: Silver Streak | Statement: [Martin Ransohoff, workedOn, Silver Streak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Streak
Context triple: [Martin Ransohoff, workedOn, Silver Streak]
  • A. Silver Streak chosen
    Silver Streak is a 1976 action-comedy film about a murder mystery unfolding aboard a cross-country train, co-starring Richard Pryor and Gene Wilder.
  • B. Silver Streak
    Silver Streak is a work created by Hilly Burns, likely a creative piece such as a novel, story, or similar literary work.
  • C. The Silver Bullet
    The Silver Bullet is a short story by William T. Vollmann, included in his collection "The Rainbow Stories," known for its dark, experimental exploration of American life and violence.
  • D. Silver Stallion
    "Silver Stallion" is a country song popularized by the supergroup The Highwaymen, showcasing their signature outlaw-country style and harmonies.
  • E. Silver Reel
    Silver Reel is a film production and financing company known for backing a range of international independent and prestige films.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91154de881909266ae88d1545685 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64898c088190ab4eef32ca4f5ed6 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.