Triple
T5456221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iphigénie en Tauride (Gluck) |
E122483
|
entity |
| Predicate | firstIphigeniaOperaByGluck |
P64145
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Iphigénie en Tauride (Gluck), firstIphigeniaOperaByGluck, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIphigeniaOperaByGluck Context triple: [Iphigénie en Tauride (Gluck), firstIphigeniaOperaByGluck, false]
-
A.
firstPerformanceOpera
Indicates the relationship in which an opera work is presented in its first-ever performance.
-
B.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
C.
madeOperaticDebut
Indicates that an entity performed in its first-ever opera production or role.
-
D.
associatedOpera
Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
-
E.
firstPerformanceTheatre
Indicates the theatre where an entity (such as a play or performance) 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd927b0b4c81909d5e0f594822e3f9 |
completed | March 20, 2026, 6:31 p.m. |
Created at: March 20, 2026, 2:08 p.m.