Triple

T2026884
Position Surface form Disambiguated ID Type / Status
Subject Parker E44427 entity
Predicate hasNotableBearer P458 FINISHED
Object Peter Parker E123778 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: [Parker, hasNotableBearer, Peter Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Parker
Context triple: [Parker, hasNotableBearer, Peter Parker]
  • A. 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.
  • B. 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.
  • C. Peter
    Peter is a common male given name of Greek origin, widely used in many languages and cultures, often associated with the meaning "rock" or "stone."
  • D. Peter
    Peter is a central character in Margaret Atwood's novel "The Edible Woman," serving as the protagonist Marian's conventional, marriage-minded fiancé who embodies societal expectations.
  • E. Spider-Man chosen
    Spider-Man is a Marvel Comics superhero alter ego of Peter Parker, known for his spider-like abilities, red-and-blue costume, and role as one of the most iconic characters in popular culture.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb91055d88190a980e7b42e5895d4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afc9e3c8190a045ef1c987c4141 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.