Triple

T13099504
Position Surface form Disambiguated ID Type / Status
Subject Ann Huntress Lamont E310679 entity
Predicate familyName P18 FINISHED
Object Lamont E471874 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: Lamont | Statement: [Ann Huntress Lamont, familyName, Lamont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamont
Context triple: [Ann Huntress Lamont, familyName, Lamont]
  • A. Lamont chosen
    Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
  • B. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • C. Lamont Bentley
    Lamont Bentley was an American actor best known for his role as Hakeem Campbell on the 1990s television sitcom "Moesha."
  • D. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • E. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981500d34819097037b3c3c33627b completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61bcfe88190866b4330d1669602 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.