Triple

T5550997
Position Surface form Disambiguated ID Type / Status
Subject Yvonne De Carlo E145524 entity
Predicate familyName P18 FINISHED
Object Middleton E100780 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: Middleton | Statement: [Yvonne De Carlo, familyName, Middleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middleton
Context triple: [Yvonne De Carlo, familyName, Middleton]
  • A. Middleton chosen
    Middleton is a British family name historically associated with the lineage of Lord Barham and other notable figures in the United Kingdom.
  • B. Middleton
    Middleton is the middle name of James M. Cox, the American newspaper publisher and Democratic politician who ran for U.S. president in 1920.
  • C. Middleton
    Middleton is a town in Greater Manchester, England, historically part of Lancashire and now a residential and industrial suburb of Manchester.
  • D. Middleton
    Middleton is a village and civil parish in the English county of Norfolk, situated near the town of King’s Lynn.
  • E. Middleton
    Middleton is a suburban city in south-central Wisconsin, known for its proximity to Madison and its mix of residential neighborhoods, parks, and commercial areas.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe3e7788190aa5361b083197c17 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283101dc8190a52ef2edbb523e78 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.