Triple

T13461664
Position Surface form Disambiguated ID Type / Status
Subject Dean Pereira E311384 entity
Predicate relationshipConflictWith P61665 FINISHED
Object Cindy Heller Pereira E1041595 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: Cindy Heller Pereira | Statement: [Dean Pereira, relationshipConflictWith, Cindy Heller Pereira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy Heller Pereira
Context triple: [Dean Pereira, relationshipConflictWith, Cindy Heller Pereira]
  • A. Cindy Heller Pereira
    Cindy Heller Pereira is the female lead character in the romantic drama film "Blue Valentine," portrayed by Michelle Williams.
  • B. Cindy Heller Pereira chosen
    Cindy Heller Pereira is known as the spouse of Dean Pereira.
  • C. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • D. Cindy Mollo
    Cindy Mollo is a film and television editor known for her work on projects such as the post-apocalyptic drama "The Book of Eli."
  • E. Cindy Marcus
    Cindy Marcus is a screenwriter best known for co-writing Disney's animated sequel "The Lion King II: Simba’s Pride."
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0d95fc81909d9f73d5315dc7b4 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462522c88190a6a6e2e2292e2414 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.