Triple

T15493443
Position Surface form Disambiguated ID Type / Status
Subject Wilson Fisk E378752 entity
Predicate affiliation P10 FINISHED
Object Maggia E971856 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: Maggia | Statement: [Wilson Fisk, affiliation, Maggia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maggia
Context triple: [Wilson Fisk, affiliation, Maggia]
  • A. Maggia
    Maggia is a river in the Swiss canton of Ticino that flows from the Alps into Lake Maggiore.
  • B. Maggia chosen
    The Maggia is a powerful fictional international crime syndicate in the Marvel Comics universe, often serving as a major organized-crime antagonist to superheroes like Iron Man and Spider-Man.
  • C. Maleizen
    Maleizen is a village that forms a sub-municipality of Overijse in the Flemish Brabant province of Belgium.
  • D. Pierrelatte
    Pierrelatte is a commune in southeastern France known for its proximity to the Tricastin nuclear complex and its location in the Drôme department of the Auvergne-Rhône-Alpes region.
  • E. Dozza
    Dozza is a picturesque medieval hilltop village in Italy’s Emilia-Romagna region, renowned for its castle and open-air mural art.
  • 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.