Triple

T4559850
Position Surface form Disambiguated ID Type / Status
Subject The Good Girls Revolt E120565 entity
Predicate executiveProducer P7225 FINISHED
Object Lynda Obst E159259 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: Lynda Obst | Statement: [The Good Girls Revolt, executiveProducer, Lynda Obst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynda Obst
Context triple: [The Good Girls Revolt, executiveProducer, Lynda Obst]
  • A. Lynda Obst chosen
    Lynda Obst is an American film producer and author known for her work on major Hollywood films, including the science fiction epic "Interstellar."
  • B. Lisa Reisert
    Lisa Reisert is the resourceful and determined protagonist of the thriller film "Red Eye," who becomes entangled in a high-stakes assassination plot during a red-eye flight.
  • C. Lynda Resnick
    Lynda Resnick is an American billionaire businesswoman and philanthropist known for co-owning The Wonderful Company and for her extensive arts and cultural patronage.
  • D. Joely Richardson
    Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
  • E. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc593eaf881908a9043366230b391 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.