Triple
T4666833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liar Liar |
E102865
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Paul Guay
Paul Guay is an American screenwriter best known for co-writing the hit comedy film "Liar Liar" starring Jim Carrey.
|
E462974
|
NE FINISHED |
How this triple was built (4 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: [Liar Liar, screenwriter, Paul Guay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Guay Context triple: [Liar Liar, screenwriter, Paul Guay]
-
A.
Paul Gervais
Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
-
B.
Jules Jetté
Jules Jetté was a Jesuit missionary and linguist known for his pioneering documentation and study of the Koyukon Athabaskan language and culture in Alaska.
-
C.
Charles Daoust
Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
-
D.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
E.
Roger Frappier
Roger Frappier is a veteran Canadian film producer known for championing auteur-driven cinema and backing acclaimed international projects such as "The Power of the Dog."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paul Guay Triple: [Liar Liar, screenwriter, Paul Guay]
Generated description
Paul Guay is an American screenwriter best known for co-writing the hit comedy film "Liar Liar" starring Jim Carrey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Guay Target entity description: Paul Guay is an American screenwriter best known for co-writing the hit comedy film "Liar Liar" starring Jim Carrey.
-
A.
Paul Gervais
Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
-
B.
Jules Jetté
Jules Jetté was a Jesuit missionary and linguist known for his pioneering documentation and study of the Koyukon Athabaskan language and culture in Alaska.
-
C.
Charles Daoust
Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
-
D.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
E.
Roger Frappier
Roger Frappier is a veteran Canadian film producer known for championing auteur-driven cinema and backing acclaimed international projects such as "The Power of the Dog."
- F. None of above. chosen
Provenance (5 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633d87788190a3c8946ed6995062 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be104a596c8190903c208c892da186 |
completed | March 21, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69be11aa08708190b2860dc80b26d49f |
completed | March 21, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be11f8a1f08190b0e42b7a24a1e9dc |
completed | March 21, 2026, 3:35 a.m. |
Created at: March 20, 2026, 1:15 p.m.