Triple
T9431073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dulcinea del Toboso |
E227374
|
entity |
| Predicate | actualStatusInStory |
P35677
|
FINISHED |
| Object | ordinary peasant woman |
—
|
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: ordinary peasant woman | Statement: [Dulcinea del Toboso, actualStatusInStory, ordinary peasant woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actualStatusInStory Context triple: [Dulcinea del Toboso, actualStatusInStory, ordinary peasant woman]
-
A.
narrativeStatus
chosen
Indicates the role or state of an element within a narrative, such as whether it is current, hypothetical, background, or otherwise positioned in the story’s progression.
-
B.
narratorStatus
Indicates the role or condition of the narrator in relation to the described narrative or event.
-
C.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
D.
customStatus
Indicates that an entity has a user-defined or non-standard status assigned to it.
-
E.
realityStatus
Indicates the relationship between an entity and its state of existence or authenticity within a given context or world (e.g., real, fictional, hypothetical, simulated).
- 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.