Triple

T3912309
Position Surface form Disambiguated ID Type / Status
Subject Chase Utley E87350 entity
Predicate familyName P18 FINISHED
Object Utley E87350 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: Utley | Statement: [Chase Utley, familyName, Utley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utley
Context triple: [Chase Utley, familyName, Utley]
  • A. Utley chosen
    Utley is a surname most prominently associated with former Major League Baseball second baseman Chase Utley.
  • B. Harvey Fisk
    Harvey Fisk was a prominent 19th-century American banker and bond dealer known for his role in financing the U.S. government during and after the Civil War.
  • C. Jake Hoyt
    Jake Hoyt is a rookie LAPD narcotics officer whose moral integrity is tested during a tumultuous day under a corrupt veteran detective in the film "Training Day."
  • D. Dwighty
    Dwighty is a fan nickname for Dwight Fairfield, a nervous but resourceful survivor character from the horror game Dead by Daylight.
  • E. Billy Butts
    Billy Butts was an actor who appeared in early American cinema, including the 1926 silent film "Sparrows."
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed37b19c81908e690c495d96607f completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb534348190a6e34fa80a6b7b03 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.