Triple

T15493165
Position Surface form Disambiguated ID Type / Status
Subject Miles Morales E378747 entity
Predicate fullName P16 FINISHED
Object Miles Gonzalo Morales E378747 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: Miles Gonzalo Morales | Statement: [Miles Morales, fullName, Miles Gonzalo Morales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miles Gonzalo Morales
Context triple: [Miles Morales, fullName, Miles Gonzalo Morales]
  • A. Miles Morales chosen
    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.
  • B. John Drake
    John Drake is the resourceful and unflappable secret agent protagonist of the 1960s British television series "Danger Man."
  • C. Ben Urich
    Ben Urich is a seasoned investigative reporter in Marvel Comics, best known for uncovering superhero secrets and exposing corruption in New York City.
  • D. Adam Holender
    Adam Holender is a Polish-born American cinematographer best known for shooting the influential 1969 film "Midnight Cowboy."
  • E. Amadeus Cho
    Amadeus Cho is a Marvel Comics super-genius and superhero who has taken on roles such as the Hulk and a key member of various Avengers teams.
  • 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_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:49 a.m.