Triple

T12823669
Position Surface form Disambiguated ID Type / Status
Subject Al Horford E306594 entity
Predicate familyName P18 FINISHED
Object Horford E306594 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: Horford | Statement: [Al Horford, familyName, Horford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horford
Context triple: [Al Horford, familyName, Horford]
  • A. John Henson
    John Henson was a member of the Derby Philosophical Society, an 18th–19th century learned society in Derby, England devoted to scientific and intellectual inquiry.
  • B. Sheridan Whiteside
    Sheridan Whiteside is a sharp-tongued, eccentric radio personality and critic whose domineering, witty presence drives the comedic chaos in the play "The Man Who Came to Dinner."
  • C. Hassan Whiteside
    Hassan Whiteside is an American professional basketball center known for his elite rim protection, shot-blocking prowess, and rebounding in the NBA.
  • D. Graham Purvis
    Graham Purvis is a former New Zealand rugby union prop who represented the All Blacks at international level.
  • E. Al Horford chosen
    Al Horford is a Dominican-American professional basketball player and five-time NBA All-Star known for his versatile frontcourt play and back-to-back NCAA championships at the University of Florida.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96edcc99c8190986cd78fe4714835 completed April 10, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed337248190a007fe18c6379910 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:32 p.m.