Triple
T29582122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Torrance about the hotel’s history |
E753615
|
entity |
| Predicate | relatesToMotive |
P6699
|
FINISHED |
| Object | JackNeedsJobDespiteRisks |
—
|
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: JackNeedsJobDespiteRisks | Statement: [Jack Torrance about the hotel’s history, relatesToMotive, JackNeedsJobDespiteRisks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesToMotive Context triple: [Jack Torrance about the hotel’s history, relatesToMotive, JackNeedsJobDespiteRisks]
-
A.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
B.
depictsMotive
Indicates that one entity visually represents or illustrates the motive, intention, or underlying reason associated with another entity or action.
-
C.
motive
chosen
Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
-
D.
mayRelateTo
Indicates a possible, but not certain, relationship or association between two entities.
-
E.
motivatedByGoal
Indicates that an action, behavior, or state occurs as a result of an intention to achieve a specific goal or desired outcome.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a0174e8b5b481908bf0c6d3d5b0f3b6 |
completed | May 11, 2026, 6:19 a.m. |
| PD | Predicate disambiguation | batch_6a01748d65248190ac3d9adfa9d0b274 |
completed | May 11, 2026, 6:17 a.m. |
Created at: April 28, 2026, 6:07 p.m.