Triple
T36875290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Tina |
E911326
|
entity |
| Predicate | countryOfOperaPremiere |
P168101
|
FINISHED |
| Object | United States |
E14
|
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: United States | Statement: [Miss Tina, countryOfOperaPremiere, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOperaPremiere Context triple: [Miss Tina, countryOfOperaPremiere, United States]
-
A.
operaHouseOfPremiere
Indicates the opera house where a particular work was first premiered or originally performed.
-
B.
premiereOperaPlace
Indicates the place where an opera was first premiered or publicly performed.
-
C.
originalTheatreOfPremiere
Indicates the theatre where a work was first premiered or originally performed.
-
D.
premiereOperaCountry
chosen
Indicates the country in which an opera was first premiered or publicly performed.
-
E.
countryOfPremiere
Indicates the country in which a work (such as a film, show, or performance) was first publicly premiered.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a032d9200448190a2adcc5ee48bff01 |
completed | May 12, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3dfac0091081909d481f105ed758b4 |
completed | June 26, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a032c9f41f08190b1c60b0afbbac01a |
completed | May 12, 2026, 1:35 p.m. |
Created at: May 3, 2026, 4:13 p.m.