Triple
T18926121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Guay |
E462974
|
entity |
| Predicate | coWroteWith |
P2389
|
FINISHED |
| Object | Stephen Mazur |
—
|
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 Mazur | Statement: [Paul Guay, coWroteWith, Stephen Mazur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Mazur Context triple: [Paul Guay, coWroteWith, Stephen Mazur]
-
A.
Stephen Mazur
Stephen Mazur is an American screenwriter best known for co-writing the hit Jim Carrey comedy film "Liar Liar."
-
B.
Stephen Mazur
chosen
Stephen Mazur is a creator known for his work associated with Samantha Cole.
-
C.
Robert Zussman
Robert Zussman is a key supporting character and U.S. Army soldier in the video game Call of Duty: WWII, known for his close friendship with the protagonist and his role in the game's emotional narrative.
-
D.
Garth H. Drabinsky
Garth H. Drabinsky is a Canadian theatrical producer and former film executive known for his high-profile stage productions and controversial legal troubles.
-
E.
Phil Szostak
Phil Szostak is an American architect best known for designing the Durham Performing Arts Center in North Carolina.
- 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_69e5c9b94e008190a0e9a70aaf6d18ed |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.