Triple
T15569542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Afonso |
E374201
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Orfeu |
E113300
|
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: Orfeu | Statement: [José Afonso, recordLabel, Orfeu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orfeu Context triple: [José Afonso, recordLabel, Orfeu]
-
A.
Orfeo
Orfeo is a Renaissance pastoral play by Angelo Poliziano that dramatizes the myth of Orpheus and Eurydice and is considered an important precursor to Italian opera.
-
B.
Orfeo
chosen
Orfeo is a classical music record label known for its high-quality recordings of orchestral, operatic, and chamber music.
-
C.
Orpheus
Orpheus is a legendary musician, poet, and prophet in ancient Greek mythology, famed for his enchanting music that could charm all living things and even the gods of the underworld.
-
D.
Romeus
Romeus is the male protagonist of the narrative poem "The Tragicall Historye of Romeus and Juliet," an early English source for Shakespeare’s "Romeo and Juliet."
-
E.
Euryanthe
Euryanthe is a Romantic-era German opera by Carl Maria von Weber, noted for its through-composed structure and influence on later composers such as Wagner.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4440a481909699a7eee25a4b24 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.