Triple

T2277342
Position Surface form Disambiguated ID Type / Status
Subject David Benioff E51200 entity
Predicate familyName P18 FINISHED
Object Benioff E51200 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: Benioff | Statement: [David Benioff, familyName, Benioff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benioff
Context triple: [David Benioff, familyName, Benioff]
  • A. Benioff chosen
    Benioff is a surname most prominently associated with Marc Benioff, the billionaire co-founder and CEO of Salesforce.
  • B. Hugo Benioff
    Hugo Benioff was an American seismologist and physicist best known for his work on deep-focus earthquakes and the identification of what are now called Benioff zones in subduction regions.
  • C. Richter
    Richter is a common German surname borne by numerous notable individuals, including artists, scientists, and public figures.
  • D. Léogâne
    Léogâne is a coastal commune in western Haiti, historically significant as a former indigenous and colonial center and heavily affected by the 2010 earthquake.
  • E. Rikter Bedan
    Rikter Bedan is a notable literary work by Bengali poet and revolutionary Kazi Nazrul Islam, reflecting his characteristic themes of rebellion and humanism.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc1ee22988190b7fa28b0b62e8668 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f0ed1b881909ba3c7f9fea50267 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.