Triple

T8009613
Position Surface form Disambiguated ID Type / Status
Subject Sarah Alexander E186451 entity
Predicate name P16 FINISHED
Object Sarah Alexander E186451 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: Sarah Alexander | Statement: [Sarah Alexander, name, Sarah Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Alexander
Context triple: [Sarah Alexander, name, Sarah Alexander]
  • A. Sarah Alexander chosen
    Sarah Alexander is a British actress best known for her roles in television comedies such as "Coupling" and "Green Wing."
  • B. Christine Thayer
    Christine Thayer is a central character in the film "Crash," depicted as a successful Black woman whose experiences expose racial tensions and injustices in contemporary Los Angeles.
  • C. Lucinda McCullough
    Lucinda McCullough was the wife of renowned American bridge engineer Conde McCullough, associated with his personal and family life during his career in Oregon.
  • D. Elizabeth Knapp
    Elizabeth Knapp was the mother of Elizabeth Shaw Melville, who was the wife of American novelist Herman Melville.
  • E. Maria Cole
    Maria Cole was an American jazz singer and television personality best known as the wife of legendary musician Nat King Cole and the mother of singer Natalie Cole.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6f76408190a1312369521a187a completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc569e90d48190a1bf1495496017f8 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:19 p.m.