Triple
T37234345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen (Carmen Suite) |
E923526
|
entity |
| Predicate | firstMajorInterpreter |
P120663
|
FINISHED |
| Object | Maya Plisetskaya |
E245192
|
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: Maya Plisetskaya | Statement: [Carmen (Carmen Suite), firstMajorInterpreter, Maya Plisetskaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorInterpreter Context triple: [Carmen (Carmen Suite), firstMajorInterpreter, Maya Plisetskaya]
-
A.
firstMajorDevelopment
Indicates that the object is the earliest significant development, milestone, or major advancement associated with the subject.
-
B.
firstMajorVersionBy
Indicates that one entity is the earliest or initial major version created or released by another entity.
-
C.
firstMajorProduction
Indicates that an entity is the earliest significant or primary production (such as a film, play, or large-scale work) associated with another entity.
-
D.
firstMajorCodificationBy
Indicates that the object is the first major formal codification or systematic recording of the subject.
-
E.
firstMajorSuccess
chosen
Indicates that an entity represents the earliest significant achievement or breakthrough in another entity’s career, activity, or development.
- F. None of above.
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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a406cc75dd48190b2f352ffc5e72189 |
completed | June 28, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.