Triple

T14566996
Position Surface form Disambiguated ID Type / Status
Subject Peter Parker E341808 entity
Predicate enemy P4567 FINISHED
Object Venom E923342 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: Venom | Statement: [Peter Parker, enemy, Venom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venom
Context triple: [Peter Parker, enemy, 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 solo hip-hop album by Wu-Tang Clan member U-God, showcasing his gritty lyrical style and distinctive voice.
  • D. 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.
  • E. Venom
    Venom is the nickname of Michael "Venom" Page, a British mixed martial artist and kickboxer known for his unorthodox, flashy striking style and highlight-reel knockouts.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.