Triple
T17606687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burt Lancaster |
E428850
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Burton |
—
|
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: Burton | Statement: [Burt Lancaster, givenName, Burton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burton Context triple: [Burt Lancaster, givenName, Burton]
-
A.
Burton
Burton is the surname of acclaimed American filmmaker Tim Burton, known for his dark, gothic, and whimsical visual style.
-
B.
Burton
chosen
Burton is a masculine given name of English origin, notably borne by the American actor Burt Lancaster.
-
C.
Burton
Burton is a village and suburb situated just outside the coastal town of Christchurch in Dorset, England.
-
D.
Burton
Burton is a town within the Lincoln urban area in England, functioning as one of its constituent communities.
-
E.
Buttram
Buttram is a surname most notably associated with American character actor Pat Buttram, known for his distinctive voice and roles in Westerns and television.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.