Triple

T10874971
Position Surface form Disambiguated ID Type / Status
Subject The Maker E256762 entity
Predicate hasTitle P38 FINISHED
Object The Maker E256762 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: The Maker | Statement: [The Maker, hasTitle, The Maker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Maker
Context triple: [The Maker, hasTitle, The Maker]
  • A. The Maker chosen
    "The Maker" is a track by the electronic music producer Teatro, likely showcasing his signature atmospheric and melodic style.
  • B. Makers
    Makers is a science fiction novel by Cory Doctorow that explores a near-future maker culture, disruptive innovation, and the social and economic upheavals caused by rapid technological change.
  • C. El hacedor
    El hacedor is a 1960 collection of short prose pieces and poems by Jorge Luis Borges that explores themes of time, identity, and the nature of authorship in his characteristically metafictional style.
  • D. Amaker
    Amaker is the surname of Tommy Amaker, an American college basketball coach and former player best known for coaching at Harvard University.
  • E. The Inventor
    The Inventor is a stop-motion animated film written and directed by Jim Capobianco that follows Leonardo da Vinci’s imaginative adventures and inventions.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7518a1db08190abf0c524b81487fa completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ddafc48190824c133bb33b9efe completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.