Triple

T19593161
Position Surface form Disambiguated ID Type / Status
Subject Swordfish E470286 entity
Predicate title P38 FINISHED
Object Swordfish 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: Swordfish | Statement: [Swordfish, title, Swordfish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swordfish
Context triple: [Swordfish, title, Swordfish]
  • A. Swordfish chosen
    Swordfish is a 2001 action thriller film known for its high-tech heist plot, stylized action sequences, and performances by John Travolta, Hugh Jackman, and Halle Berry.
  • B. Bluefish
    Bluefish is a former professional baseball team based in Bridgeport, Connecticut, that competed in the independent Atlantic League.
  • C. Marlin
    Marlin is a surname most notably associated with American stock car racing driver Sterling Marlin.
  • D. Marlin
    Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
  • E. El Gran Pez
    El Gran Pez is the popular nickname of the Mexican football club Dorados de Sinaloa, reflecting its identity and local cultural ties.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640782e2c8190b5baef07a2bdd015 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.