Triple
T23326499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert |
E591307
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Burt |
—
|
NE NERFINISHED |
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: [Bert, hasVariant, Burt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burt Context triple: [Bert, hasVariant, 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
Burt is an Australian federal electoral division located in the state of Western Australia.
-
C.
Burt
chosen
Burt is a masculine given name most famously associated with American composer and songwriter Burt Bacharach.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eaa7b88190aad2096c110dadea |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:12 p.m.