Triple

T3376723
Position Surface form Disambiguated ID Type / Status
Subject Iron Man 3 E71082 entity
Predicate mainCharacter P1183 FINISHED
Object Pepper Potts E303078 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: Pepper Potts | Statement: [Iron Man 3, mainCharacter, Pepper Potts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pepper Potts
Context triple: [Iron Man 3, mainCharacter, Pepper Potts]
  • A. Pepper Potts chosen
    Pepper Potts is a key Marvel Comics and Marvel Cinematic Universe character best known as Tony Stark’s trusted assistant-turned-CEO and love interest, who eventually becomes the armored hero Rescue.
  • B. Maria Hill
    Maria Hill is a high-ranking S.H.I.E.L.D. operative and close ally of Nick Fury who frequently coordinates and supports the Avengers in the Marvel Cinematic Universe.
  • C. Natasha Romanoff
    Natasha Romanoff, also known as Black Widow, is a highly skilled spy and assassin turned superhero in the Marvel Cinematic Universe and Marvel Comics.
  • D. Sharon Carter
    Sharon Carter is a Marvel Comics and Marvel Cinematic Universe character, a skilled S.H.I.E.L.D. agent and covert operative who is the great-niece of Peggy Carter.
  • E. Jennifer Walters
    Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e776508190bc123fb17b36f062 completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc17dd881908fc5fb0d4a23f40f completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:13 p.m.