Triple
T2809083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christmas Oratorio |
E54123
|
entity |
| Predicate | textAuthor |
P2353
|
FINISHED |
| Object | Picander |
E298349
|
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: Picander | Statement: [Christmas Oratorio, textAuthor, Picander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picander Context triple: [Christmas Oratorio, textAuthor, Picander]
-
A.
Picander
chosen
Picander was the pen name of Christian Friedrich Henrici, an 18th-century German poet best known for writing many of Johann Sebastian Bach’s sacred and secular librettos.
-
B.
José Pancetti
José Pancetti was a prominent Brazilian modernist painter best known for his seascapes and contributions to 20th-century Brazilian art.
-
C.
Palau Aguilar
Palau Aguilar is a historic medieval palace in Barcelona’s Gothic Quarter that serves as the main building of the Picasso Museum.
-
D.
Acuña
Acuña is a Mexican border city in the state of Coahuila, located across the Rio Grande from Del Rio, Texas.
-
E.
Pacho
Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde3165b48190a43be5e6ad23deca |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce97c3008190a966441d719d1d1c |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.