Triple

T7003567
Position Surface form Disambiguated ID Type / Status
Subject Cherry Jones E162394 entity
Predicate notableWork P4 FINISHED
Object Erin Brockovich E335361 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: Erin Brockovich | Statement: [Cherry Jones, notableWork, Erin Brockovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erin Brockovich
Context triple: [Cherry Jones, notableWork, Erin Brockovich]
  • A. Erin Brockovich chosen
    Erin Brockovich is a 2000 biographical drama film about a legal assistant who helps build a case against a California power company accused of polluting a city's water supply.
  • B. Millicent Siegel
    Millicent Siegel is the daughter of notorious American mobster Benjamin "Bugsy" Siegel and has been involved in preserving and discussing her father's controversial legacy.
  • C. Sarah Green
    Sarah Green is an American film producer known for her frequent collaborations with director Terrence Malick on critically acclaimed independent films.
  • D. Sarah Green
    Sarah Green is a British Liberal Democrat politician who serves as the Member of Parliament for the Chesham and Amersham constituency.
  • E. Deborah Kara Unger
    Deborah Kara Unger is a Canadian actress known for her intense, often edgy performances in films such as "Crash," "The Game," and "Silent Hill."
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc12af788190b3d06ffc46568410 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a368d0881908e15e473bcd6f572 completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.