Triple

T9794217
Position Surface form Disambiguated ID Type / Status
Subject Persis Khambatta E237677 entity
Predicate notableWork P4 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: [Persis Khambatta, notableWork, Silver Streak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Streak
Context triple: [Persis Khambatta, notableWork, 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 Stallion
    "Silver Stallion" is a country song popularized by the supergroup The Highwaymen, showcasing their signature outlaw-country style and harmonies.
  • C. Silver Chips
    Silver Chips is the student-run newspaper of Montgomery Blair High School, known for its in-depth reporting and coverage of school and community issues.
  • D. White Lightning
    "White Lightning" is a classic country song by George Jones, celebrated for its upbeat tempo and humorous tale of backwoods moonshine.
  • E. Silver Bullet
    Silver Bullet is an inverted steel roller coaster at Knott's Berry Farm known for its smooth, high-speed layout and multiple inversions.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda347b6bc8190a99b7dec1650cd46 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43bccfc81909b940b180fe26626 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:28 p.m.