Triple

T4192994
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man 3 E89077 entity
Predicate mainCharacter P1183 FINISHED
Object Peter Parker E341808 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: Peter Parker | Statement: [Spider-Man 3, mainCharacter, Peter Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Parker
Context triple: [Spider-Man 3, mainCharacter, Peter Parker]
  • A. Peter Parker chosen
    Peter Parker is the civilian identity of Spider-Man, a Marvel Comics superhero known as a teenage photographer and science whiz who gains spider-like abilities and struggles to balance his personal life with his crime-fighting responsibilities.
  • B. Sir Peter Parker
    Sir Peter Parker was a prominent British businessman best known for serving as chairman of the British Railways Board in the late 1970s and early 1980s.
  • C. Miles Morales
    Miles Morales is a teenage Marvel Comics superhero who becomes an alternate-universe Spider-Man known for his Afro-Latino heritage and starring role in the Spider-Verse stories.
  • D. Peni Parker
    Peni Parker is a young, anime-inspired Spider-hero from an alternate universe who pilots a psychic mech suit bonded with a radioactive spider.
  • E. Philip Holland
    Philip Holland was an 18th-century English Presbyterian minister and educator known for his influential teaching and theological work associated with Warrington Academy.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0342c6048190835631649a14d304 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0b02208190af3a55d38a7a2459 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.