Triple

T6827861
Position Surface form Disambiguated ID Type / Status
Subject El hacedor E157060 entity
Predicate hasTitleInEnglish P3437 FINISHED
Object The Doer E157060 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 Doer | Statement: [El hacedor, hasTitleInEnglish, The Doer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Doer
Context triple: [El hacedor, hasTitleInEnglish, The Doer]
  • A. El hacedor chosen
    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.
  • B. The Go-getter
    "The Go-getter" is a humorous short story by P. G. Wodehouse set in the Blandings Castle universe, featuring his trademark lighthearted comedy and eccentric characters.
  • C. Book of Effort
    The Book of Effort is a major section of the Indian epic Mahabharata that focuses on the diplomatic negotiations, preparations, and strenuous attempts to avert the Kurukshetra war.
  • D. The Errand
    The Errand is a poem by Seamus Heaney included in his acclaimed 1996 collection *The Spirit Level*.
  • E. A Job to Live
    A Job to Live is a work by British politician and author Shirley Williams that reflects her engagement with social and political issues.
  • 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_69c723f49bdc8190af39b34dbaf3f0c9 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.