Triple

T707011
Position Surface form Disambiguated ID Type / Status
Subject Allan Hoover E14122 entity
Predicate givenName P17 FINISHED
Object Allan E75479 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: Allan | Statement: [Allan Hoover, givenName, Allan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allan
Context triple: [Allan Hoover, givenName, Allan]
  • A. Allan chosen
    Allan is the given name of Allan Octavian Hume, a British civil servant and political reformer who was one of the founders of the Indian National Congress.
  • B. Allan Scott
    Allan Scott is a Scottish screenwriter and producer known for his work on films such as "The Preacher's Wife" and for co-creating the Netflix series "The Queen's Gambit."
  • C. Nathaniel
    Nathaniel is a masculine given name of Hebrew origin meaning "gift of God," historically borne by various notable figures in literature, science, and religion.
  • D. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • E. Harmon Jones
    Harmon Jones was an American film editor and director active in Hollywood during the mid-20th century, known for his work on several notable studio productions.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5477bb48190a2032edc83a24720 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a6bcf88190aff5bd3db264f475 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:36 p.m.