Triple

T13351428
Position Surface form Disambiguated ID Type / Status
Subject Steven Chasman E318076 entity
Predicate notableWork P4 FINISHED
Object The Meg 2: The Trench E737585 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 2: The Trench | Statement: [Steven Chasman, notableWork, The Meg 2: The Trench]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Meg 2: The Trench
Context triple: [Steven Chasman, notableWork, The Meg 2: The Trench]
  • A. The Meg 2: The Trench chosen
    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.
  • B. The Meg
    The Meg is a 2018 science fiction action film about a massive prehistoric shark terrorizing a deep-sea research facility.
  • C. 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.
  • D. Piranha 3D
    Piranha 3D is a 2010 horror-comedy film about prehistoric man-eating piranhas unleashed in a popular lake resort during spring break.
  • E. 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.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f72675c87c8190b26991b55092c444 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.