Triple

T20784841
Position Surface form Disambiguated ID Type / Status
Subject Lon Smith Jr. E511601 entity
Predicate givenName P17 FINISHED
Object Lon 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: Lon | Statement: [Lon Smith Jr., givenName, Lon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lon
Context triple: [Lon Smith Jr., givenName, Lon]
  • A. Lon chosen
    Lon is the family name of Lon Nol, the Cambodian general and politician who led a coup against Prince Norodom Sihanouk and headed the Khmer Republic in the early 1970s.
  • B. Lou
    Lou is a common diminutive form of the given name Louise.
  • C. Lou
    Lou is a supporting character in the romantic drama film "Stuck in Love," involved in the intertwined relationships and personal struggles of a family of writers.
  • D. Lou
    Lou is the central canine hero of the animated film "Cats & Dogs," leading the fight to protect humanity from a secret feline plot.
  • E. Lou
    Lou is a central character in the Canadian romantic drama film "Take This Waltz," which explores themes of love, fidelity, and emotional restlessness.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28b4ce88190a45f1c99b58d18eb completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.