Triple

T14102225
Position Surface form Disambiguated ID Type / Status
Subject Burt Jenner E339411 entity
Predicate givenName P17 FINISHED
Object Burt E143896 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: Burt | Statement: [Burt Jenner, givenName, Burt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burt
Context triple: [Burt Jenner, givenName, Burt]
  • A. Burt
    Burt is the protagonist of Stephen King’s horror short story “Children of the Corn,” a man who stumbles upon a sinister rural town dominated by a murderous cult of children.
  • B. Burt chosen
    Burt is a masculine given name most famously associated with American composer and songwriter Burt Bacharach.
  • C. Burt Chance
    Burt Chance is a well-meaning but often hapless father and grandfather in the sitcom "Raising Hope," known for his blue-collar lifestyle, offbeat parenting, and comedic misadventures with his eccentric family.
  • D. Burt Vickerman
    Burt Vickerman is a tough but ultimately supportive gymnastics coach in the 2006 film "Stick It," known for pushing his athletes to challenge the sport’s rigid rules.
  • E. Bert
    Bert is a serious, detail-oriented Muppet from Sesame Street, best known for his love of pigeons, paper clips, and his comedic odd-couple friendship with Ernie.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.