Triple

T6514263
Position Surface form Disambiguated ID Type / Status
Subject Topher Grace E148213 entity
Predicate portrayed P1668 FINISHED
Object Venom E196181 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: [Topher Grace, portrayed, Venom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venom
Context triple: [Topher Grace, portrayed, Venom]
  • A. Venom chosen
    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
    Venom is a powerful strength-enhancing drug in the DC Comics universe, most famously used by the villain Bane to augment his physical 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 the Rattler
    Venom the Rattler is the snake-themed athletic mascot representing Florida A&M University's sports teams.
  • E. Morbius
    Morbius is a 2022 superhero horror film based on the Marvel Comics character, following biochemist Dr. Michael Morbius as he transforms into a living vampire after attempting to cure his rare blood disease.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0bea808190aebc2905fb53eeba completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5125c448190bf47843fcac66efe completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:44 p.m.