Triple
T22037299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summertime '06 |
E544244
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Prima Donna |
—
|
NE NERFINISHED |
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: Prima Donna | Statement: [Summertime '06, followedBy, Prima Donna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prima Donna Context triple: [Summertime '06, followedBy, Prima Donna]
-
A.
Prima Donna
chosen
Prima Donna is an American rock band known for its glam-punk style and energetic live performances.
-
B.
The Prima Donna
The Prima Donna is a 1908 comic opera by composer Victor Herbert, known for its lighthearted romantic plot and melodious, operetta-style score.
-
C.
The Bald Prima Donna
The Bald Prima Donna is a landmark absurdist play by Eugène Ionesco that satirizes the banality and breakdown of language in middle-class conversation.
-
D.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
E.
La Bella
La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f32edc81909b6898af6621f56f |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.