Triple

T14988931
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Broke the Bank at Monte Carlo E373779 entity
Predicate hasCastMember P2308 FINISHED
Object Mary Clare E161841 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: Mary Clare | Statement: [The Man Who Broke the Bank at Monte Carlo, hasCastMember, Mary Clare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Clare
Context triple: [The Man Who Broke the Bank at Monte Carlo, hasCastMember, Mary Clare]
  • A. Mary Clare chosen
    Mary Clare was a British stage and film actress known for her character roles in early 20th-century cinema and theatre.
  • B. Mary Ellen
    Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
  • C. 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.
  • D. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • E. Clara Driscoll
    Clara Driscoll was an American designer and studio manager best known for creating many of the iconic stained-glass lamps and windows produced by Louis Comfort Tiffany’s company in the late 19th and early 20th centuries.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8c036bfc8190b01bf2128403f557 completed May 9, 2026, 1:21 a.m.
Created at: April 10, 2026, 2:53 a.m.