Triple
T8766443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You for Smoking |
E208349
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Nick Naylor |
E757296
|
NE FINISHED |
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: Nick Naylor | Statement: [Thank You for Smoking, character, Nick Naylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Naylor Context triple: [Thank You for Smoking, character, Nick Naylor]
-
A.
Nick Naylor
chosen
Nick Naylor is a charismatic, smooth-talking tobacco lobbyist known for his witty, amoral spin-doctoring in the satirical world of public relations.
-
B.
Mike Norton
Mike Norton is the central character in the modern Western film "The Three Burials of Melquiades Estrada," whose actions and moral journey drive the story’s exploration of guilt, justice, and redemption.
-
C.
Nick Reynolds
Nick Reynolds was an American folk musician best known as a founding member and vocalist of the influential folk group The Kingston Trio.
-
D.
Edward Pawley
Edward Pawley was an American actor known for his work in 1930s and 1940s films and radio dramas.
-
E.
Dan Sullivan
Dan Sullivan is a Republican U.S. Senator from Alaska, known for his work on national security, energy policy, and Arctic issues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f1bf97c8190a158a38bd2babb83 |
completed | April 3, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:41 p.m.