Triple
T1682151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La voix humaine |
E36360
|
entity |
| Predicate | characterCountOnStage |
P32696
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [La voix humaine, characterCountOnStage, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterCountOnStage Context triple: [La voix humaine, characterCountOnStage, 1]
-
A.
graphicCharactersCount
Indicates the number of printable (non-control) characters present in a given text or string.
-
B.
userCount
Indicates the number of users associated with or involved in a given context or entity.
-
C.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
D.
numberOfStrings
Indicates the quantity of strings associated with or contained by an entity.
-
E.
registerCount
Indicates the number of registers associated with or allocated to a given entity in a system.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba641e6a881909645577e72b53df2 |
completed | March 7, 2026, 4:14 a.m. |
Created at: March 4, 2026, 7:29 p.m.