Triple
T20269904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Cilento |
E499065
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Aida |
—
|
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: Aida | Statement: [Wayne Cilento, notableWork, Aida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aida Context triple: [Wayne Cilento, notableWork, Aida]
-
A.
Aida
chosen
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.
Aida
Aida is a central female character in the Italian film "Girl with a Suitcase," portrayed as a vulnerable yet resilient young woman navigating love, betrayal, and survival.
-
C.
Aida
Aida is a feminine given name of Arabic origin, widely recognized through its use in literature, opera, and popular culture.
-
D.
Aida (opera)
Aida (opera) is Giuseppe Verdi’s grand 1871 opera set in ancient Egypt, renowned for its dramatic love triangle, monumental choruses, and elaborate staging.
-
E.
Aída
Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dc8e708190b840d687f134c9e8 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.