Triple

T440283
Position Surface form Disambiguated ID Type / Status
Subject Ado Annie Carnes E10098 entity
Predicate loveInterest P7325 FINISHED
Object Ali Hakim E10995 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: Ali Hakim | Statement: [Ado Annie Carnes, loveInterest, Ali Hakim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Hakim
Context triple: [Ado Annie Carnes, loveInterest, Ali Hakim]
  • A. Ali Hakim chosen
    Ali Hakim is a comic Persian peddler and charming rogue suitor in the classic Rodgers and Hammerstein musical "Oklahoma!".
  • B. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • C. Hassan Aref
    Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
  • D. Monsieur Ibrahim
    Monsieur Ibrahim is a 2003 French drama film in which Omar Sharif delivers an acclaimed performance as a wise Turkish shopkeeper who befriends a lonely Parisian boy.
  • E. Abdul Salaam
    Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2977888190a0590b2c1bd2f5da completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4366fc48c8190a10f1034a2bb579c completed March 1, 2026, 12:51 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.