Triple
T9431059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dulcinea del Toboso |
E227374
|
entity |
| Predicate | existenceInPlot |
P17462
|
FINISHED |
| Object | largely offstage |
—
|
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: largely offstage | Statement: [Dulcinea del Toboso, existenceInPlot, largely offstage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: existenceInPlot Context triple: [Dulcinea del Toboso, existenceInPlot, largely offstage]
-
A.
plotInvolvement
chosen
Indicates that an entity participates in, contributes to, or is affected by the events or storyline of a narrative work.
-
B.
existsWithin
Indicates that one entity is located inside the spatial, temporal, or conceptual boundaries of another entity.
-
C.
livesInWorldWith
Indicates that one entity exists or resides within the same world or universe as another entity.
-
D.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
E.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:49 p.m.