Triple
T29822950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You for Smoking |
E757295
|
entity |
| Predicate | MODSquadMembers |
P117391
|
FINISHED |
| Object | Nick Naylor |
—
|
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: Nick Naylor | Statement: [Thank You for Smoking, MODSquadMembers, Nick Naylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MODSquadMembers Context triple: [Thank You for Smoking, MODSquadMembers, Nick Naylor]
-
A.
wasInSquadFor
chosen
Indicates that an individual was a member of a particular squad or team, typically for a specific event, period, or organization.
-
B.
mainProtagonistTeamMember
Indicates that an entity is a member of the primary team or group associated with the main protagonist.
-
C.
squadronCode
Indicates the identifying code assigned to a military or aviation squadron that denotes its unit designation.
-
D.
squadCharacteristic
Indicates that a particular characteristic, trait, or property is attributed to a squad as a whole.
-
E.
squadSizeType
Indicates the type or classification of a squad based on its size.
- F. None of above.
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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:30 p.m.