Triple

T8084497
Position Surface form Disambiguated ID Type / Status
Subject Bret Maverick E188696 entity
Predicate relative P37 FINISHED
Object Beau Maverick E715081 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: Beau Maverick | Statement: [Bret Maverick, relative, Beau Maverick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beau Maverick
Context triple: [Bret Maverick, relative, Beau Maverick]
  • A. Beau Maverick chosen
    Beau Maverick is a fictional character associated with the Maverick family, likely portrayed as a bold, independent, and adventurous figure in a Western or action-oriented setting.
  • B. Bart Maverick
    Bart Maverick is a fictional professional gambler and charming con man from the classic Western television series "Maverick," known as one of the Maverick brothers alongside Bret.
  • C. Bret Maverick
    Bret Maverick is a charming, quick-witted professional gambler and con man from the classic Western television series "Maverick," famously portrayed by James Garner.
  • D. Roger Murtaugh
    Roger Murtaugh is a veteran, family-oriented Los Angeles homicide detective best known as one of the two main protagonists in the Lethal Weapon film series.
  • E. Dennis Austin
    Dennis Austin was a software engineer best known as the co-creator and principal developer of Microsoft PowerPoint, originally developed at Forethought Inc.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415e61ac81909e924aea69a7ff77 completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd677b00548190929a2a38b4d1476f completed April 1, 2026, 6:44 p.m.
Created at: March 30, 2026, 5:29 p.m.