Triple

T9223908
Position Surface form Disambiguated ID Type / Status
Subject Dody Dorn E221631 entity
Predicate workedOn P3 FINISHED
Object The Abyss E159007 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 Abyss | Statement: [Dody Dorn, workedOn, The Abyss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Abyss
Context triple: [Dody Dorn, workedOn, The Abyss]
  • A. The Abyss chosen
    The Abyss is a 1989 science fiction film directed by James Cameron that follows a deep-sea oil drilling team encountering mysterious underwater phenomena.
  • B. Abyss
    Abyss is an American professional wrestler best known for his long-running, hardcore-style career in Total Nonstop Action/Impact Wrestling, where he became one of the promotion’s signature monsters and multi-time champion.
  • C. Sealab
    Sealab is a music producer known for contributing to Pusha T’s critically acclaimed hip-hop album "My Name Is My Name."
  • D. Waterworld
    Waterworld is a 1995 post-apocalyptic science fiction film set on a flooded Earth, best known for its ambitious water-based production, high budget, and starring Kevin Costner as a mutant drifter.
  • E. Deep Gill
    Deep Gill is a notable steep gully on the slopes of Scafell in England’s Lake District, popular with scramblers and climbers.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9c71c4819089dcc3689f322529 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0664565748190a45cf382fca72cbe completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.