Triple

T18029700
Position Surface form Disambiguated ID Type / Status
Subject Flicka E431352 entity
Predicate mainCharacter P1183 FINISHED
Object Nell McLaughlin 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: Nell McLaughlin | Statement: [Flicka, mainCharacter, Nell McLaughlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nell McLaughlin
Context triple: [Flicka, mainCharacter, Nell McLaughlin]
  • A. Katherine McLaughlin chosen
    Katherine McLaughlin is the young girl protagonist of the 2006 family film "Flicka," who forms a deep bond with a wild mustang.
  • B. Nancy Dow
    Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
  • C. Nancy Sullivan
    Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
  • D. Betsy McCaughey
    Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
  • E. Mary McCleary
    Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be347f6c8190b324fe74b7dc1764 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.