Triple

T22306158
Position Surface form Disambiguated ID Type / Status
Subject Elaine Vassal E551379 entity
Predicate employer P7 FINISHED
Object Cage & Fish 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: Cage & Fish | Statement: [Elaine Vassal, employer, Cage & Fish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cage & Fish
Context triple: [Elaine Vassal, employer, Cage & Fish]
  • A. Cage & Fish chosen
    Cage & Fish is a fictional Boston law firm featured in the television series "Ally McBeal," known for its quirky lawyers and unconventional office culture.
  • B. Beaucoup Fish
    Beaucoup Fish is a critically acclaimed 1999 electronic music album by British group Underworld, known for its innovative fusion of techno, house, and ambient styles.
  • C. Cage
    Cage is an American underground rapper known for his dark, introspective lyrics and influential role in alternative hip hop.
  • D. Cage
    Cage is a surname most famously associated with avant-garde American composer John Cage, a pioneer of experimental and minimalist music.
  • E. Shooting Fish
    Shooting Fish is a 1997 British romantic crime comedy film about two con men trying to scam their way to enough money to buy a stately home.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157276d3c8190a55c93760a986cdc completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.