Triple
T17195397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willink and Thicknesse |
E417336
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Philip Willink |
E1255189
|
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: Philip Willink | Statement: [Willink and Thicknesse, namedAfter, Philip Willink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Willink Context triple: [Willink and Thicknesse, namedAfter, Philip Willink]
-
A.
Philip Willink
chosen
Philip Willink is a British historian and author best known for co-writing the satirical historical work "Willink and Thicknesse."
-
B.
Jonathan Sewell
Jonathan Sewell was a prominent early 19th-century Canadian lawyer, judge, and political figure who served as Chief Justice of Lower Canada and was influential within the conservative Château Clique elite.
-
C.
Aidan Murdoch
Aidan Murdoch is a member of the Murdoch family, known primarily as a child of media executive Lachlan Murdoch.
-
D.
Mark Dargus
Mark Dargus is a character associated with the crime world surrounding Ordell Robbie in the Elmore Leonard–inspired universe.
-
E.
Mark Verheiden
Mark Verheiden is an American writer and producer known for his work in comics, film, and television, including contributions to genre projects like Timecop, Battlestar Galactica, and Smallville.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42da9e6208190b5c4e5925e840217 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674bfabc8190bff7223e039089cc |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.