Triple
T11733486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellie Burr |
E278962
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Burr |
E173165
|
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: Burr | Statement: [Ellie Burr, familyName, Burr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burr Context triple: [Ellie Burr, familyName, Burr]
-
A.
Burr
chosen
Burr is a surname most famously associated with Aaron Burr, the third vice president of the United States who dueled Alexander Hamilton.
-
B.
Burrus
Burrus is a variant form of the name Burr, used as a personal or family name.
-
C.
Burris
Burris is a surname and given name, often considered a variant of "Burr," borne by various individuals across sports, politics, and entertainment.
-
D.
Crockett
Crockett is a small unincorporated town in Contra Costa County, California, located along the Carquinez Strait in the San Francisco Bay Area.
-
E.
Cutter
Cutter is a key supporting character in the film "The Prestige," serving as an experienced stage engineer who designs illusions and becomes entangled in the rivalry between two magicians.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8406fe8881909722ecb040087e68 |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:41 p.m.