Triple
T23548736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Thompson Baxter |
E577977
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Baxter |
—
|
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: Baxter | Statement: [Leslie Thompson Baxter, familyName, Baxter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baxter Context triple: [Leslie Thompson Baxter, familyName, Baxter]
-
A.
Baxter
chosen
Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
-
B.
Baxter
Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
-
C.
Baxter
Baxter is a small unincorporated community located in Baker County, Florida.
-
D.
Baxter
Baxter is a musical act known for its association with the hardcore band The Killing Tree.
-
E.
Baxter
Baxter is a character named in the work "Saturday," likely serving as part of its central cast or supporting ensemble.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecd60a881908c257d9ba67080c8 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.