Triple
T6652231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Wisner |
E150848
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wisner |
E150848
|
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: Wisner | Statement: [Bill Wisner, familyName, Wisner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wisner Context triple: [Bill Wisner, familyName, Wisner]
-
A.
Wisner
chosen
Wisner is a surname of German origin borne by various notable individuals across politics, intelligence, and other fields.
-
B.
Wisser
The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
-
C.
Woolsey
Woolsey is a surname most notably associated with Theodore Dwight Woolsey, a prominent 19th-century American academic and president of Yale College.
-
D.
Weil
Weil is a surname most notably associated with André Weil, a prominent 20th-century French mathematician and co-founder of the Bourbaki group.
-
E.
Weil
Weil is a small river in the German state of Hesse that flows through the Taunus region before joining the Lahn.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b046c1408190af288575e40936d0 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7128c4eac81909ebfe47d8d1ffe9b |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:01 p.m.