Triple

T6050053
Position Surface form Disambiguated ID Type / Status
Subject The WELL E134767 entity
Predicate name P16 FINISHED
Object The WELL E134767 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: The WELL | Statement: [The WELL, name, The WELL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The WELL
Context triple: [The WELL, name, The WELL]
  • A. The WELL chosen
    The WELL is a major fitness, recreation, and wellness center serving students and the campus community at California State University, Sacramento.
  • B. 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.
  • C. The Well
    The Well is a film featuring actress Dorothy Patrick, known for her roles in mid-20th-century American cinema.
  • D. 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.
  • E. The Great Indoors
    The Great Indoors is an American sitcom starring Joel McHale as a magazine reporter who must adapt to managing a team of millennial digital journalists.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f4f84c8190a7e2416d81b3554c completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a65164819090883dbad3be5026 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.