Triple
T18921018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Straw |
E462854
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Will Straw |
—
|
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: Will Straw | Statement: [Will Straw, name, Will Straw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Straw Context triple: [Will Straw, name, Will Straw]
-
A.
Will Straw
chosen
Will Straw is a British political activist and policy expert known for his work with the Labour Party and for co-founding the political blog Left Foot Forward.
-
B.
Doug Strutt
Doug Strutt is a wealthy, self-satisfied real estate developer whose callous worldview clashes sharply with the protagonist’s moral convictions in the film "Beatriz at Dinner."
-
C.
Andrew Stroud
Andrew Stroud was a New York City police detective and later the manager and husband of legendary singer and pianist Nina Simone.
-
D.
Steven Stroud
Steven Stroud is an American illustrator and cover artist known for his work on numerous science fiction and fantasy book covers.
-
E.
Frank Strang
Frank Strang is a character in Peter Shaffer's play "Equus," depicted as the conflicted and emotionally distant father of the troubled teenager Alan Strang.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b3b93c819085032d8251a43ca8 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.