Triple

T16641927
Position Surface form Disambiguated ID Type / Status
Subject Karen Vanmeer E404358 entity
Predicate fictionalUniverse P3758 FINISHED
Object Boom Town E1221505 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: Boom Town | Statement: [Karen Vanmeer, fictionalUniverse, Boom Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boom Town
Context triple: [Karen Vanmeer, fictionalUniverse, Boom Town]
  • A. 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.
  • B. Boom Town chosen
    "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.
  • C. Boomtown
    Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
  • D. Boomtown
    "Boomtown" is a song featured on the bluegrass album "Tell the Ones I Love" by the Steep Canyon Rangers.
  • E. Mob Town
    Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad1a7748190aa9308d4e96c566c completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.