Triple
T15077523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howell Binkley |
E380043
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Aida |
E455387
|
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: Aida | Statement: [Howell Binkley, notableWork, Aida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aida Context triple: [Howell Binkley, notableWork, Aida]
-
A.
Aida
Aida is a Broadway musical, with music by Elton John and lyrics by Tim Rice, that retells the tragic love story between an enslaved Nubian princess and an Egyptian soldier.
-
B.
Aída
Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
-
C.
"Aida"
chosen
"Aida" is Giuseppe Verdi's grand opera set in ancient Egypt, renowned for its dramatic love triangle, monumental choruses, and powerful arias.
-
D.
Orfeo
Orfeo is a classical music record label known for its high-quality recordings of orchestral, operatic, and chamber music.
-
E.
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.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5d2765481908f101bef483ed02f |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:03 a.m.