Triple

T23428101
Position Surface form Disambiguated ID Type / Status
Subject Maidie Norman E563248 entity
Predicate notableWork P4 FINISHED
Object The Well — NE NERFINISHED

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: The Well | Statement: [Maidie Norman, notableWork, The Well]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Well
Context triple: [Maidie Norman, notableWork, The Well]
  • A. The Well
    The Well is a 1997 Australian psychological thriller film in which Miranda Otto gives a critically acclaimed performance as a young woman entangled in a tense, isolating relationship with her guardian.
  • B. The Well
    The Well is a Scottish professional football club based in Motherwell, North Lanarkshire, that competes in the Scottish Premiership.
  • C. The Well
    "The Well" is a song by American singer-songwriter Smog (Bill Callahan), featured on his 2005 album *A River Ain't Too Much to Love*, known for its sparse, introspective folk style.
  • D. The Well chosen
    The Well is a film featuring actress Dorothy Patrick, known for her roles in mid-20th-century American cinema.
  • E. The Well
    The Well is a novel by Canadian author Sinclair Ross, recognized for its exploration of prairie life and psychological realism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54ae8ac8190b0bae2560582c904 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:48 p.m.