Triple

T18044749
Position Surface form Disambiguated ID Type / Status
Subject Secretariat E431742 entity
Predicate grandsire P979 FINISHED
Object Nasrullah NE NERFINISHED

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: Nasrullah | Statement: [Secretariat, grandsire, Nasrullah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasrullah
Context triple: [Secretariat, grandsire, Nasrullah]
  • A. Nasrullah chosen
    Nasrullah was a highly influential Thoroughbred racehorse and sire whose bloodline has shaped modern flat and National Hunt racing.
  • B. Hibatullah
    Hibatullah is the given name of Hibatullah Akhundzada, the reclusive supreme leader of the Taliban in Afghanistan.
  • C. Khalilullah
    Khalilullah is an honorific title meaning "Friend of God," traditionally associated with the prophet Ibrahim (Abraham) in Islamic tradition.
  • D. Ubaydullah
    Ubaydullah is an Arabic male given name historically borne by several early Islamic figures.
  • E. Kifayatullah
    Kifayatullah was the architect responsible for designing the historic Bara Imambara complex in Lucknow, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff13f488190993445769551c9c2 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.