Triple

T2250792
Position Surface form Disambiguated ID Type / Status
Subject Horace Grant E49611 entity
Predicate familyName P18 FINISHED
Object Grant E182443 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: Grant | Statement: [Horace Grant, familyName, Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant
Context triple: [Horace Grant, familyName, Grant]
  • A. Grant chosen
    Grant is a masculine given name of English origin that is commonly used in the United States and other English-speaking countries.
  • B. Grant
    Grant is a publishing company best known for releasing special and limited editions of Stephen King’s works, including volumes in The Dark Tower series.
  • C. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • D. Red Grant
    Red Grant is a ruthless, psychopathic assassin and primary antagonist in the James Bond franchise, most prominently appearing as SPECTRE’s top killer in the film and novel "From Russia, with Love."
  • E. قسما
    قسما هو النشيد الوطني للجزائر، الذي كُتبت كلماته خلال ثورة التحرير الجزائرية ويُعد رمزًا لنضال الشعب الجزائري من أجل الاستقلال.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11b61888190af3b11b87dc8e0dc completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1bc424819087b2ce9a6256a180 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.