Triple

T18334471
Position Surface form Disambiguated ID Type / Status
Subject Richard Tyson E439233 entity
Predicate notableWork P4 FINISHED
Object Boomtown 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: Boomtown | Statement: [Richard Tyson, notableWork, Boomtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boomtown
Context triple: [Richard Tyson, notableWork, Boomtown]
  • A. Boomtown chosen
    Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
  • B. Boomtown
    "Boomtown" is a song featured on the bluegrass album "Tell the Ones I Love" by the Steep Canyon Rangers.
  • C. Boom Town
    Boom Town is a 1940 American drama film about rival wildcat oil drillers, starring Clark Gable alongside Spencer Tracy, Claudette Colbert, and Hedy Lamarr.
  • D. Boom Town
    "Boom Town" is a 2005 episode of the British science fiction television series Doctor Who, featuring the Ninth Doctor confronting a surviving Slitheen in modern-day Cardiff.
  • E. Birdtown
    Birdtown is a historic, working-class neighborhood in Lakewood, Ohio, known for its early 20th-century immigrant roots and dense, walkable residential character.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.