Triple
T32559723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diceman |
E832188
|
entity |
| Predicate | hasStageProp |
P198968
|
FINISHED |
| Object | cigarette |
—
|
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: cigarette | Statement: [The Diceman, hasStageProp, cigarette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStageProp Context triple: [The Diceman, hasStageProp, cigarette]
-
A.
hasStageType
Indicates that an entity is associated with, or classified by, a specific type or category of stage within a process, lifecycle, or workflow.
-
B.
hasStageIn
Indicates a relationship where one entity occurs, exists, or takes place within a particular stage or phase of another process, lifecycle, or sequence.
-
C.
hasStageVersion
Indicates that one entity is a specific stage, phase, or version within the lifecycle or progression of another entity.
-
D.
hasStageStructure
Indicates that one entity possesses or is characterized by a particular stage-based structural organization defined by another entity.
-
E.
hasStageRange
Indicates that there is a defined range of stages or phases associated with an entity, from a starting stage to an ending stage.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
| PDg | Predicate description generation | batch_69ff17bda59c8190b27c524f3e01c6df |
completed | May 9, 2026, 11:17 a.m. |
Created at: May 1, 2026, 1:03 a.m.