Triple
T20946516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samson et Dalila |
E515856
|
entity |
| Predicate | firstFrenchPerformanceYear |
P141807
|
FINISHED |
| Object | 1890 |
—
|
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: 1890 | Statement: [Samson et Dalila, firstFrenchPerformanceYear, 1890]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFrenchPerformanceYear Context triple: [Samson et Dalila, firstFrenchPerformanceYear, 1890]
-
A.
firstEuropeanPerformanceYear
Indicates the year in which something (such as a work, event, or performance) was first performed in Europe.
-
B.
firstFrenchPremiereDate
Indicates the date on which something (such as a work or event) was first premiered or publicly presented in France.
-
C.
firstPerformanceOfWorkYear
Indicates that the referenced performance is the first time a particular work was performed in a given calendar year.
-
D.
firstEnglishPerformanceYear
Indicates the year in which the entity’s first performance in English took place.
-
E.
firstPerformanceOperaYear
Indicates the year in which an opera was first performed.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad97aa48190b4be692e3afce8c9 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:56 p.m.