Triple
T37863365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuthering Heights (1939 film) |
E944394
|
entity |
| Predicate | adaptationScope |
P189790
|
FINISHED |
| Object | covers roughly first half of the novel’s plot |
—
|
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: covers roughly first half of the novel’s plot | Statement: [Wuthering Heights (1939 film), adaptationScope, covers roughly first half of the novel’s plot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationScope Context triple: [Wuthering Heights (1939 film), adaptationScope, covers roughly first half of the novel’s plot]
-
A.
scopeOfAdvice
Indicates that one entity defines or specifies the range, boundaries, or subject matter covered by another entity’s advice or guidance.
-
B.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
-
C.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
D.
acquisitionScope
Indicates the extent, boundaries, or coverage of what is obtained or brought under control through an acquisition.
-
E.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:19 p.m.