Triple

T8602048
Position Surface form Disambiguated ID Type / Status
Subject Mireille Enos E203701 entity
Predicate notableWork P4 FINISHED
Object The Catch E686098 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 Catch | Statement: [Mireille Enos, notableWork, The Catch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Catch
Context triple: [Mireille Enos, notableWork, The Catch]
  • A. The Catch chosen
    The Catch is an American television drama series blending crime, romance, and suspense, produced by Shondaland and aired on ABC as part of Shonda Rhimes’ slate of primetime shows.
  • B. The Catch
    The Catch is the iconic last-minute touchdown reception by Dwight Clark from Joe Montana in the 1982 NFC Championship Game, widely regarded as one of the most famous plays in NFL history.
  • C. The Catcher
    The Catcher is a lesser-known film featuring American actor Joe Estevez, recognized for his extensive work in low-budget and independent cinema.
  • D. The Quigley
    The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
  • E. The Ditch
    The Ditch is a colloquial nickname for the Tasman Sea, the body of water separating Australia and New Zealand.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46da609881909a6d851915e8df14 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.