Triple
T22861044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Barncard |
E566920
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Burgers |
—
|
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: Burgers | Statement: [Stephen Barncard, notableWork, Burgers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgers Context triple: [Stephen Barncard, notableWork, Burgers]
-
A.
Burgers
chosen
Burgers is a 1972 studio album by the American rock band Hot Tuna, known for its blend of electric blues, rock, and folk influences.
-
B.
Burger
Burger is a common German-origin surname borne by various notable individuals, including former U.S. Chief Justice Warren E. Burger.
-
C.
Burgers and Fries
"Burgers and Fries" is a country music song by Charley Pride that became one of his popular hits in the late 1970s.
-
D.
Charburger
Charburger is The Habit Burger Grill’s signature charbroiled hamburger, known for its flame-grilled patty and classic toppings.
-
E.
Die Burger
Die Burger is a prominent Afrikaans-language daily newspaper published in South Africa, known for its regional and national news coverage.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efcc1308190a95d10e431295ca2 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:37 p.m.