Triple

T22224285
Position Surface form Disambiguated ID Type / Status
Subject Eric E549293 entity
Predicate basedOn P98 FINISHED
Object Eric Coulter 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: Eric Coulter | Statement: [Eric, basedOn, Eric Coulter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Coulter
Context triple: [Eric, basedOn, Eric Coulter]
  • A. Eric Coulter chosen
    Eric Coulter is a ruthless and ambitious Dauntless leader-in-training who serves as a primary antagonist in the Divergent series.
  • B. Steve Coulter
    Steve Coulter is an American actor known for his supporting roles in horror and thriller films and television series, including entries in the Insidious franchise.
  • C. Ben Coulter
    Ben Coulter is the young man at the center of the British television drama "Criminal Justice," whose arrest for murder drives the series’ exploration of the legal system and personal trauma.
  • D. Rob Hotchkiss
    Rob Hotchkiss is an American musician and songwriter best known as a founding member, guitarist, and vocalist of the rock band Train.
  • E. Mike Kellerman
    Mike Kellerman is a fictional Baltimore homicide detective known for his morally complex investigations and personal struggles on the television series "Homicide: Life on the Street."
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b93e2208190aee70ffd82962ea0 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.