Triple
T22648285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Newcombe |
E559024
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Newcombe |
—
|
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: Newcombe | Statement: [Don Newcombe, familyName, Newcombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newcombe Context triple: [Don Newcombe, familyName, Newcombe]
-
A.
Newcombe
chosen
Newcombe is a surname of English origin borne by various notable individuals in fields such as sports, science, and public life.
-
B.
Wightman
Wightman is an English-language surname borne by various notable individuals across fields such as science, law, and the arts.
-
C.
Evert
Evert is a given name and surname of Germanic origin, used as a variant of names like Everett.
-
D.
Janice Collins
Janice Collins is a fictional character from the classic American television sitcom "The Bing Crosby Show."
-
E.
Sam Swope
Sam Swope is an American author best known for his children's books and educational work promoting literacy and creative writing.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17039c2bc8190972a7c169b27005c |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.