Triple
T26186413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Responses to the Sicilian Questions |
E654840
|
entity |
| Predicate | responder |
P19418
|
FINISHED |
| Object | Ibn Sabʿīn |
—
|
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: Ibn Sabʿīn | Statement: [Responses to the Sicilian Questions, responder, Ibn Sabʿīn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responder Context triple: [Responses to the Sicilian Questions, responder, Ibn Sabʿīn]
-
A.
responseTool
Indicates a tool, method, or mechanism used to produce, deliver, or manage a response in a given context.
-
B.
responseFrom
chosen
Indicates that one entity is the originator or source of a response directed to another entity or request.
-
C.
Receiver
Indicates the entity that is the target or beneficiary of an action, transfer, or communication initiated by another entity.
-
D.
respondentPosition
Indicates the role, title, or job position held by a respondent in the context of a survey, study, or inquiry.
-
E.
respondentStatus
Indicates the current role, condition, or state of a respondent in relation to a survey, inquiry, or legal/administrative process.
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c9df1ac8190a31d3a3fea0b2e16 |
completed | May 2, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:42 p.m.