Triple
T10449241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Lee Pryor |
E246371
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pryor |
E49186
|
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: Pryor | Statement: [Jennifer Lee Pryor, familyName, Pryor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pryor Context triple: [Jennifer Lee Pryor, familyName, Pryor]
-
A.
Pryor
chosen
Pryor is the surname of Richard Pryor, the influential American stand-up comedian and actor known for his incisive, boundary-pushing humor.
-
B.
Guthrie
Guthrie is a historic city in central Oklahoma that served as the first capital of the state and is known for its well-preserved Victorian architecture.
-
C.
Guthrie
Guthrie is a surname most famously associated with American folk singer-songwriter and social activist Woody Guthrie.
-
D.
Guthrie
Guthrie is a small rural village in the Angus council area of eastern Scotland, known for its historic parish church and surrounding farmland.
-
E.
Kallahan
Kallahan is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ef4e0dc81908d7cf0f2b6f4cd98 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:16 p.m.