Triple
T33527995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuthering Heights (estate) |
E858693
|
entity |
| Predicate | narratedByFrom |
P71455
|
FINISHED |
| Object | Nelly Dean |
—
|
NE NERFINISHED |
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: Nelly Dean | Statement: [Wuthering Heights (estate), narratedByFrom, Nelly Dean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narratedByFrom Context triple: [Wuthering Heights (estate), narratedByFrom, Nelly Dean]
-
A.
narratedByInAdaptation
Indicates that, in a particular adaptation of a work, the story is told or voiced by a specific narrator.
-
B.
narratedFrom
chosen
Indicates that an event, story, or account is told or described from the perspective or vantage point of a particular source or narrator.
-
C.
narratedByCharacters
Indicates that the events or content of a work are told or recounted by specific characters within that work.
-
D.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
E.
narratorPlayedBy
Indicates that a given narrator character is portrayed or voiced by a specific performer or actor.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 1, 2026, 1:39 a.m.