Triple

T9279676
Position Surface form Disambiguated ID Type / Status
Subject Rainn Wilson E223035 entity
Predicate appearedIn P795 FINISHED
Object The Meg (film) E334512 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 Meg (film) | Statement: [Rainn Wilson, appearedIn, The Meg (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Meg (film)
Context triple: [Rainn Wilson, appearedIn, The Meg (film)]
  • A. The Meg chosen
    The Meg is a 2018 science fiction action film about a massive prehistoric shark terrorizing a deep-sea research facility.
  • B. The Meg 2: The Trench
    The Meg 2: The Trench is a 2023 science fiction action film and sequel to "The Meg," featuring Jason Statham battling prehistoric sea creatures in deep-ocean settings.
  • C. River Monsters
    River Monsters is a popular Animal Planet documentary series in which angler and biologist Jeremy Wade investigates and catches large, elusive freshwater creatures often blamed for attacks on humans.
  • D. Colossal
    Colossal is a 2016 genre-blending film that mixes dark comedy, science fiction, and character drama, in which Anne Hathaway plays a woman who discovers her personal struggles are mysteriously linked to a giant monster attacking Seoul.
  • E. 47 Meters Down: Uncaged
    47 Meters Down: Uncaged is a 2019 survival horror film about a group of teenage girls trapped by sharks in an underwater Mayan city.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cc79508190954defbef0d82a64 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c4f254c819083301449c3e4b11d completed April 4, 2026, 5:06 a.m.
Created at: March 30, 2026, 7:34 p.m.