Triple

T9923973
Position Surface form Disambiguated ID Type / Status
Subject Bat Masterson E187874 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: [Bat Masterson, familyName, Masterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masterson
Context triple: [Bat 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. 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.
  • D. Morrisen
    Morrisen is an alternative spelling or variant form of the surname Morrison.
  • E. McCaskey
    McCaskey is the surname of Virginia Halas McCaskey, the longtime principal owner of the NFL’s Chicago Bears and daughter of legendary coach and owner George Halas.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59733188190900426e4e29ae5e3 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e0bdae08190acb94fe7d5471e4b completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:43 p.m.