Triple
T18550750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talbot Pepys |
E453368
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Talbot |
—
|
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: Talbot | Statement: [Talbot Pepys, givenName, Talbot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talbot Context triple: [Talbot Pepys, givenName, Talbot]
-
A.
Talbot
chosen
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
-
B.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
C.
Curzon
Curzon is a notable British surname historically associated with aristocratic families and political figures in the United Kingdom.
-
D.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
E.
Talbot Horizon
The Talbot Horizon is a late-1970s to mid-1980s European compact hatchback car produced by Chrysler Europe and later PSA, known for its practical design and role as a predecessor to the Peugeot 309.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53800c0fc819097782f1e81574598 |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:38 a.m.