Triple
T35521289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fox and the Crow |
E1026555
|
entity |
| Predicate | hasMotiveOfFox |
P84537
|
FINISHED |
| Object | to obtain the crow's food |
—
|
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: to obtain the crow's food | Statement: [The Fox and the Crow, hasMotiveOfFox, to obtain the crow's food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotiveOfFox Context triple: [The Fox and the Crow, hasMotiveOfFox, to obtain the crow's food]
-
A.
hasMotiveElement
Indicates that one entity includes, specifies, or is characterized by a particular motive-related component or factor in a broader relationship or action.
-
B.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
C.
hasMotiveContext
chosen
Indicates that there is contextual information explaining the reasons or motivations behind an action, event, or relationship.
-
D.
hasMotiveTheme
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
-
E.
hasMotiveInvestigation
Indicates that an investigation is being conducted to determine the motive behind an action or event.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: May 3, 2026, 4:04 p.m.