Triple

T6827860
Position Surface form Disambiguated ID Type / Status
Subject El hacedor E157060 entity
Predicate hasTitleInEnglish P3437 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: [El hacedor, hasTitleInEnglish, The Maker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Maker
Context triple: [El hacedor, hasTitleInEnglish, 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 Innovator
    The Innovator is an honorific nickname for Little Richard, highlighting his pioneering role in shaping rock and roll music.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6254bd88190a2a424537c2c12e2 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fa6fc80819081f012ea2207c25a completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:18 p.m.