Triple
T14027014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorena Bernal |
E337485
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Aída
Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
|
E1076430
|
NE FINISHED |
How this triple was built (4 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: Aída | Statement: [Lorena Bernal, notableWork, Aída]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aída Context triple: [Lorena Bernal, notableWork, Aída]
-
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.
Semiramide
Semiramide is an 1823 opera seria by Gioachino Rossini, renowned for its virtuosic vocal writing and grand bel canto style.
-
C.
Tosca
Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
-
D.
Carmelina
Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
-
E.
Elettra
Elettra is one of the individual poetic compositions within Gabriele D’Annunzio’s collection "Le Laudi," reflecting his characteristic decadent and symbolist style.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Aída Triple: [Lorena Bernal, notableWork, Aída]
Generated description
Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aída Target entity description: Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
-
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.
Semiramide
Semiramide is an 1823 opera seria by Gioachino Rossini, renowned for its virtuosic vocal writing and grand bel canto style.
-
C.
Tosca
Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
-
D.
Carmelina
Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
-
E.
Elettra
Elettra is one of the individual poetic compositions within Gabriele D’Annunzio’s collection "Le Laudi," reflecting his characteristic decadent and symbolist style.
- F. None of above. chosen
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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc333b7a08190b4f121fef69f7513 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc438f85308190ae917812686006f6 |
completed | May 7, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:20 p.m.