Triple

T15493153
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man E378746 entity
Predicate hasAlias P455 FINISHED
Object Spidey 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: Spidey | Statement: [Spider-Man, hasAlias, Spidey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spidey
Context triple: [Spider-Man, hasAlias, Spidey]
  • A. 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.
  • 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. Spider-Men
    Spider-Men is a Marvel Comics crossover storyline that brings together different versions of Spider-Man, including Miles Morales and Peter Parker, through a multiverse-spanning adventure.
  • D. Spider
    Spider was the Lunar Module used during NASA's Apollo 9 mission to test and validate lunar landing operations in Earth orbit.
  • E. Spider
    Spider is a famous large-scale sculpture series by French-American artist Louise Bourgeois, often interpreted as an evocative symbol of motherhood, protection, and memory.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d48f17c819088c4d8c2d2b368c8 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:49 a.m.