Triple

T3639301
Position Surface form Disambiguated ID Type / Status
Subject Anna E77147 entity
Predicate helpsCharacter P7748 FINISHED
Object Albert Stark E64335 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: Albert Stark | Statement: [Anna, helpsCharacter, Albert Stark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Stark
Context triple: [Anna, helpsCharacter, Albert Stark]
  • A. Albert Stark chosen
    Albert Stark is the timid, unlucky sheep farmer protagonist of the comedy Western film "A Million Ways to Die in the West," portrayed by Seth MacFarlane.
  • B. 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.
  • 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. Justin Hammer
    Justin Hammer is a wealthy, unscrupulous weapons manufacturer and rival to Tony Stark in the Marvel Cinematic Universe.
  • E. Tony Stark
    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.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc32b83188190bfc0ed4dc8f66730 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f274e8c81909851f28b776b835a completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.