Triple
T22241750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law |
E549738
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Stephen Law |
—
|
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: Stephen Law | Statement: [Law, hasNotableBearer, Stephen Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Law Context triple: [Law, hasNotableBearer, Stephen Law]
-
A.
Stephen Law
chosen
Stephen Law is a British philosopher and author known for his work in philosophy of religion, skepticism, and public debates on the rationality of theism.
-
B.
Tony Lawson
Tony Lawson is a film editor known for his work on major motion pictures, including the drama "The Brave One."
-
C.
Richard Chappell
Richard Chappell is a music producer known for his work on Peter Gabriel’s song “Panopticom.”
-
D.
Stephen Hicks
Stephen Hicks is a Canadian-American philosopher known for his work on postmodernism, objectivism, and the intellectual history of modern and contemporary thought.
-
E.
Ian Ayres
Ian Ayres is an American lawyer, economist, and Yale Law School professor known for his work on law and economics, behavioral economics, and discrimination.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132150a3c81908eba0683819e26d0 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.