Triple

T5394077
Position Surface form Disambiguated ID Type / Status
Subject Mary Goodnight E120604 entity
Predicate appearsAlongside P25756 FINISHED
Object Nick Nack E459242 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: Nick Nack | Statement: [Mary Goodnight, appearsAlongside, Nick Nack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Nack
Context triple: [Mary Goodnight, appearsAlongside, Nick Nack]
  • A. Nick Nack chosen
    Nick Nack is the diminutive, cunning henchman and butler to villain Francisco Scaramanga in the James Bond film "The Man with the Golden Gun."
  • B. Nick Shadow
    Nick Shadow is the demonic tempter and antagonist in Igor Stravinsky’s opera *The Rake’s Progress*, who leads the protagonist Tom Rakewell to ruin.
  • C. Paulie Bleeker
    Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
  • D. Jimmy Napes
    Jimmy Napes is a British songwriter and record producer best known for his collaborations with artists like Sam Smith and Disclosure on numerous award-winning pop and electronic hits.
  • E. Count Nefaria
    Count Nefaria is a powerful Marvel Comics supervillain, often depicted as a wealthy and ruthless crime lord who frequently battles the Avengers.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87441a208190b79561614759894b completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf336d43a081909ab05d237c297c7b completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.