Triple

T20754678
Position Surface form Disambiguated ID Type / Status
Subject Marvel Universe E510813 entity
Predicate hasPart P35 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: [Marvel Universe, hasPart, Venom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venom
Context triple: [Marvel Universe, hasPart, 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22e0d288190ba924423af59d70d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.