Triple
T28934176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niniane |
E733866
|
entity |
| Predicate | inLaterAdaptations |
P166036
|
FINISHED |
| Object | often merged with or replaced by Nimue or Viviane |
—
|
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: often merged with or replaced by Nimue or Viviane | Statement: [Niniane, inLaterAdaptations, often merged with or replaced by Nimue or Viviane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inLaterAdaptations Context triple: [Niniane, inLaterAdaptations, often merged with or replaced by Nimue or Viviane]
-
A.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
-
B.
laterAdaptedFor
Indicates that something was subsequently modified or repurposed to serve a new use, context, or medium.
-
C.
inspiredLaterAdaptation
Indicates that one work or creation served as the creative basis or motivation for a later adaptation of it.
-
D.
laterAdaptationName
Indicates that the object is the name of a later adaptation derived from or based on the subject.
-
E.
filmAdaptationChanges
Indicates that changes have been made when adapting a work from one medium (such as a book or play) into a film.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:30 a.m.