Triple
T18856674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fletcher Reede |
E461187
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Paul Guay |
—
|
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: Paul Guay | Statement: [Fletcher Reede, createdBy, Paul Guay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Guay Context triple: [Fletcher Reede, createdBy, Paul Guay]
-
A.
Paul Guay
chosen
Paul Guay is an American screenwriter best known for co-writing the hit comedy film "Liar Liar" starring Jim Carrey.
-
B.
Paul Gervais
Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
-
C.
Yves Aucoin
Yves Aucoin is a renowned Canadian lighting designer best known for his long-term creative collaborations on major concert productions, particularly with Celine Dion.
-
D.
Rene Gagnon
Rene Gagnon was a United States Marine and one of the flag raisers on Iwo Jima during World War II, later depicted as a central figure in the book and film "Flags of Our Fathers."
-
E.
Paul Perron
Paul Perron is a Canadian scholar and professor known for his work in French literature, semiotics, and literary theory.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05d0bb8819094d0447441f85b57 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.