Triple
T28444047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pearl Fishers |
E715789
|
entity |
| Predicate | hasFamousNumber |
P179026
|
FINISHED |
| Object |
tenor aria "Je crois entendre encore"
"Je crois entendre encore" is a lyrical and melancholic tenor aria from Georges Bizet’s opera *The Pearl Fishers*, renowned for its long, arching phrases and delicate high tessitura.
|
E1819449
|
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: tenor aria "Je crois entendre encore" | Statement: [The Pearl Fishers, hasFamousNumber, tenor aria "Je crois entendre encore"]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: tenor aria "Je crois entendre encore" Triple: [The Pearl Fishers, hasFamousNumber, tenor aria "Je crois entendre encore"]
Generated description
"Je crois entendre encore" is a lyrical and melancholic tenor aria from Georges Bizet’s opera *The Pearl Fishers*, renowned for its long, arching phrases and delicate high tessitura.
Provenance (5 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f71cc8eaa481909f5e2e870a80fa1a |
completed | May 3, 2026, 10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a164185f8f0819086cd8cd82272fde5 |
completed | May 27, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_6a1642a04a9c81908f196894b8f4bdf5 |
completed | May 27, 2026, 1:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a164322f1148190b37794a5fc54f184 |
completed | May 27, 2026, 1:04 a.m. |
Created at: April 28, 2026, 1:47 a.m.