Triple
T20162147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Prima Donna |
E491734
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The 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: The Prima Donna | Statement: [The Prima Donna, title, The Prima Donna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Prima Donna Context triple: [The Prima Donna, title, The Prima Donna]
-
A.
The Prima Donna
chosen
The Prima Donna is a 1908 comic opera by composer Victor Herbert, known for its lighthearted romantic plot and melodious, operetta-style score.
-
B.
Prima Donna
Prima Donna is an American rock band known for its glam-punk style and energetic live performances.
-
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.
Suor Angelica
Suor Angelica is a one-act Italian opera by Giacomo Puccini that tells the tragic story of a cloistered nun confronting her past and seeking spiritual redemption.
-
E.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.