Triple
T9829485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston Silver |
E238744
|
entity |
| Predicate | isConsumedBy |
P90227
|
FINISHED |
| Object | smoking |
—
|
LITERAL 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: smoking | Statement: [Winston Silver, isConsumedBy, smoking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConsumedBy Context triple: [Winston Silver, isConsumedBy, smoking]
-
A.
largelyConsumedBy
Indicates that something is mostly or predominantly eaten or used up by a particular consumer or group.
-
B.
isConsumedIn
Indicates that one entity is used up, ingested, or otherwise expended as part of a process, event, or action involving another entity.
-
C.
isEatenFor
Indicates that one entity is consumed as food for the benefit, nourishment, or use of another entity.
-
D.
isEatenIn
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified by another entity.
-
E.
consumes
Indicates that one entity eats, drinks, or otherwise uses up another entity as a resource or nourishment.
- F. None of above. chosen
Provenance (4 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3282a2481908913addf2b3fa58b |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:32 p.m.