Triple

T4559448
Position Surface form Disambiguated ID Type / Status
Subject Molly's Game E120556 entity
Predicate character P662 FINISHED
Object Molly Bloom E453287 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: Molly Bloom | Statement: [Molly's Game, character, Molly Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molly Bloom
Context triple: [Molly's Game, character, Molly Bloom]
  • A. Molly Bloom chosen
    Molly Bloom is a former competitive skier who became known for running high-stakes underground poker games, later chronicled in her memoir "Molly's Game," which was adapted into a feature film.
  • B. Molly Bloom
    Molly Bloom is a central character in James Joyce's novel "Ulysses," best known for her stream-of-consciousness final monologue that explores themes of sexuality, memory, and identity.
  • C. Maura
    Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
  • D. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • E. Geraldine
    Geraldine is a small rural service town in the South Island of New Zealand, known for its scenic surroundings and role as a gateway to the Canterbury high country.
  • 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_69bde0766e70819080159402ca147bf5 completed March 21, 2026, 12:04 a.m.
Created at: March 20, 2026, 1:09 p.m.