Triple
T21042060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Orton |
E518350
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Kingsley |
—
|
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: Kingsley | Statement: [Joe Orton, middleName, Kingsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingsley Context triple: [Joe Orton, middleName, 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.
Chris Kingsley
Chris Kingsley is a British video game developer and co-founder of Rebellion Developments, known for titles such as the Sniper Elite series.
-
E.
Griffin
Griffin is the invisible, increasingly unhinged scientist at the center of H. G. Wells’s classic science fiction novel "The Invisible Man."
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf0b27881909d1c5b58be387a74 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.