Triple
T11824647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Kingsley |
E281227
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kingsley |
E738437
|
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: Kingsley | Statement: [Charles Kingsley, familyName, Kingsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingsley Context triple: [Charles Kingsley, familyName, Kingsley]
-
A.
Kingsley
Kingsley is a small rural village and civil parish in East Hampshire, England.
-
B.
Kingsley
chosen
Kingsley is a masculine given name of English origin, notably borne by British novelist Kingsley Amis.
-
C.
Kingsley
Kingsley is a small rural village in the Staffordshire Moorlands district of Staffordshire, England.
-
D.
Griffin
The Griffin is the mythical creature that serves as the official mascot and symbol of Reed College.
-
E.
Griffin
Griffin is a surname of English origin borne by numerous notable individuals across fields such as architecture, politics, sports, and entertainment.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5eb299481909de3c0e85628fbe4 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131f4e2ec8190a78c101e17eaa5c0 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 8, 2026, 9:43 p.m.