Triple

T11622342
Position Surface form Disambiguated ID Type / Status
Subject Helen Ramírez E276168 entity
Predicate relationshipWith P10260 FINISHED
Object Harvey Pell E882052 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: Harvey Pell | Statement: [Helen Ramírez, relationshipWith, Harvey Pell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harvey Pell
Context triple: [Helen Ramírez, relationshipWith, Harvey Pell]
  • A. Harvey Pell chosen
    Harvey Pell is a supporting character in the classic Western film "High Noon," known as the ambitious but inexperienced deputy to Marshal Will Kane.
  • B. Harvey Pitts
    Harvey Pitts is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Pitts.
  • C. John Pleffer
    John Pleffer is an Australian architect best known as the husband of acclaimed film director Gillian Armstrong.
  • D. Thomas Parris
    Thomas Parris was a member of the Parris family of colonial Salem, known primarily as the brother of Elizabeth Parris, whose accusations helped spark the Salem witch trials.
  • E. Perry Cox
    Perry Cox is a sarcastic, tough-love attending physician and mentor on the medical comedy-drama series "Scrubs."
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13491c0c819085f4ea17ad74612a completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.