Triple

T14523283
Position Surface form Disambiguated ID Type / Status
Subject Thomas Jane E340705 entity
Predicate playedIn P2170 FINISHED
Object Deep Blue Sea E184603 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: Deep Blue Sea | Statement: [Thomas Jane, playedIn, Deep Blue Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deep Blue Sea
Context triple: [Thomas Jane, playedIn, Deep Blue Sea]
  • A. Deep Blue Sea chosen
    Deep Blue Sea is a 1999 science fiction horror film about genetically engineered sharks that terrorize researchers in an underwater facility.
  • B. Deep Blue Sea 2
    Deep Blue Sea 2 is a direct-to-video science fiction horror film that continues the genetically enhanced shark mayhem of the original Deep Blue Sea.
  • C. Deep Blue Sea 3
    Deep Blue Sea 3 is a 2020 direct-to-video science fiction horror film that continues the genetically enhanced shark thriller franchise with a new ocean-based research setting and cast.
  • D. Killer Fish
    Killer Fish is a 1979 Italian–American horror film best known for its blend of heist thriller and killer piranha creature-feature elements.
  • E. Saw Sea
    The Saw Sea is a body of water located off the western part of Timor in Southeast Asia.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea04f16f88190ba357b0f8021b46b completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab07e08819085a6a21cc9cea1fa completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.