Triple
T4795593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Dialogues between Hylas and Philonous |
E106703
|
entity |
| Predicate | numberOfDialogues |
P59311
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Three Dialogues between Hylas and Philonous, numberOfDialogues, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDialogues Context triple: [Three Dialogues between Hylas and Philonous, numberOfDialogues, 3]
-
A.
numberOfPassages
Indicates the total count of distinct passages associated with or contained within a given entity or context.
-
B.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
C.
numberOfPropositions
Indicates the total count of distinct propositions associated with or contained within a given entity or context.
-
D.
numberOfQuestions
Indicates the total count of questions associated with or contained in a given entity or context.
-
E.
numberOfNarrators
Indicates the quantity of distinct narrators associated with a given work or narrative.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6b3fb598819084a83d2b765a62b0 |
completed | March 20, 2026, 3:43 p.m. |
Created at: March 20, 2026, 1:22 p.m.