Triple

T14273615
Position Surface form Disambiguated ID Type / Status
Subject Maya Hansen E353856 entity
Predicate interactsWith P3970 FINISHED
Object Tony Stark E70279 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: Tony Stark | Statement: [Maya Hansen, interactsWith, Tony Stark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Stark
Context triple: [Maya Hansen, interactsWith, Tony Stark]
  • A. Tony Stark chosen
    Tony Stark is a fictional billionaire industrialist and genius inventor who becomes the armored superhero Iron Man in Marvel Comics and the Marvel Cinematic Universe.
  • B. Tony Starks
    Tony Starks is an alias of Ghostface Killah, the influential Wu-Tang Clan rapper known for his vivid storytelling and distinctive, soulful style.
  • C. Obadiah Stane
    Obadiah Stane is a Marvel Comics supervillain and ruthless industrialist who becomes the armored antagonist Iron Monger and a major foe of Iron Man.
  • D. Howard Stark
    Howard Stark is a brilliant industrialist, inventor, and co-founder of S.H.I.E.L.D. in the Marvel universe, known for shaping advanced technology and influencing his son Tony Stark’s legacy.
  • E. Ezekiel Stane
    Ezekiel Stane is a Marvel Comics supervillain and technological prodigy who becomes one of Iron Man’s most dangerous enemies by weaponizing advanced bio-technology and armor innovations.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6582f5308190969f4cfd724d9139 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d7a13288190a73683e275f6bbc0 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:10 a.m.