Triple
T36286893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabeau |
E893111
|
entity |
| Predicate | firstEuropeanPerformanceLocation |
P204818
|
FINISHED |
| Object | Teatro alla Scala, Milan |
E17826
|
NE 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: Teatro alla Scala, Milan | Statement: [Isabeau, firstEuropeanPerformanceLocation, Teatro alla Scala, Milan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEuropeanPerformanceLocation Context triple: [Isabeau, firstEuropeanPerformanceLocation, Teatro alla Scala, Milan]
-
A.
firstPerformanceCityOfWork
Indicates the city where a particular work was first performed.
-
B.
firstGermanPerformanceLocation
Indicates the location where something (such as a work or performance) was first performed in Germany.
-
C.
firstNonBayreuthPerformancePlace
Indicates the location where a work was first performed outside of Bayreuth.
-
D.
firstUSPerformanceLocation
Indicates the location where an entity was first performed in the United States.
-
E.
firstCityOfPerformanceOutsideFrance
Indicates the city where a performance was first held outside of France.
- F. None of above. chosen
Provenance (5 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a396e1cf70c8190a7cee37b74cc47f3 |
completed | June 22, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:09 p.m.