Triple

T15403096
Position Surface form Disambiguated ID Type / Status
Subject Louisa E. Masterson E368374 entity
Predicate familyName P18 FINISHED
Object Masterson E187874 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: Masterson | Statement: [Louisa E. Masterson, familyName, Masterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masterson
Context triple: [Louisa E. Masterson, familyName, Masterson]
  • A. Masterson chosen
    Masterson is a surname most famously associated with Bat Masterson, the Old West lawman, gambler, and sportswriter.
  • B. Mastro
    Mastro is an Ontology-Based Data Access (OBDA) system that enables querying relational data sources through an ontology layer using high-level semantic queries.
  • C. Buckmaster
    Buckmaster is a surname most notably associated with English orchestral arranger and composer Paul Buckmaster, known for his influential work in rock and pop music.
  • D. Comiskey
    Comiskey is a surname most famously associated with Charles Comiskey, the influential early owner of the Chicago White Sox and a key figure in the development of professional baseball.
  • E. Margolies
    Margolies is a surname that functions as a variant spelling of Margulies, borne by various individuals across different fields.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ea0ac8190a5c68b1951ad3db1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13584f8881908b2527c51f85ae28 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.