Triple

T22410506
Position Surface form Disambiguated ID Type / Status
Subject Kerry King E553981 entity
Predicate influencedBy P9 FINISHED
Object Venom NE NERFINISHED

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: Venom | Statement: [Kerry King, influencedBy, Venom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venom
Context triple: [Kerry King, influencedBy, Venom]
  • A. Venom
    Venom is a 2018 superhero film based on the Marvel Comics character, following journalist Eddie Brock as he bonds with an alien symbiote that grants him powerful but dangerous abilities.
  • B. Venom chosen
    Venom is one of Spider-Man’s most iconic adversaries, a powerful symbiote-enhanced villain known for his monstrous appearance and dark reflection of Spider-Man’s abilities.
  • C. Venom
    "Venom" is a high-energy hip hop track by American rapper Kamikaze, recognized for its aggressive delivery and intense lyrical style.
  • D. Venom
    "Venom" is a solo hip-hop album by Wu-Tang Clan member U-God, showcasing his gritty lyrical style and distinctive voice.
  • E. Venom
    Venom is a powerful strength-enhancing drug in the DC Comics universe, most famously used by the villain Bane to augment his physical abilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15942edb081909869ae013ea72f09 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.