Triple

T8722939
Position Surface form Disambiguated ID Type / Status
Subject James Todd Smith E207055 entity
Predicate notableWork P4 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: [James Todd Smith, notableWork, Deep Blue Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deep Blue Sea
Context triple: [James Todd Smith, notableWork, 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. Saw Sea
    The Saw Sea is a body of water located off the western part of Timor in Southeast Asia.
  • E. Die Haie
    Die Haie is the popular nickname of the Kölner Haie, a professional ice hockey team based in Cologne, Germany.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d0609f48190adc56226724b16c6 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf290001108190a90784b13a0a25b1 completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:36 p.m.