Triple
T20474430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warne Marsh |
E502274
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Warne |
—
|
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: Warne | Statement: [Warne Marsh, givenName, Warne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warne Context triple: [Warne Marsh, givenName, Warne]
-
A.
Warne
Warne is a river in Germany that serves as a tributary of the Oker.
-
B.
Warne
Warne is a notable publishing imprint best known for classic children's books and illustrated literature originally issued by Frederick Warne & Co.
-
C.
Shane Warne
Shane Warne was a legendary Australian leg-spin bowler widely regarded as one of the greatest cricketers in the history of the sport.
-
D.
Warne Marsh
chosen
Warne Marsh was an American jazz tenor saxophonist known for his cool jazz and Lennie Tristano–school improvisational style, marked by intricate, linear phrasing and harmonic sophistication.
-
E.
Justin Langer
Justin Langer is a former Australian opening batsman and prominent cricket coach who notably led both Western Australia and the Australian national team.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e699639eec81908f8bd24877b2b876 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.