Triple
T10571657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romea Theatre |
E249496
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Julián Romea
Julián Romea was a prominent 19th-century Spanish actor and theater figure, renowned for his contributions to the development of modern Spanish drama.
|
E873316
|
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: Julián Romea | Statement: [Romea Theatre, namedAfter, Julián Romea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julián Romea Context triple: [Romea Theatre, namedAfter, Julián Romea]
-
A.
Carlos Nieto
Carlos Nieto is a fictional New York City paramedic featured as one of the central characters in the television drama series "Third Watch."
-
B.
Javier Montoya
Javier Montoya is a notable individual distinguished enough to be recognized as a prominent bearer of the Montoya surname.
-
C.
Pedro Luque
Pedro Luque is a Uruguayan cinematographer known for his visually striking work on films such as "Society of the Snow" and "Don't Breathe."
-
D.
Xavier Loyá
Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
-
E.
Fernando Montoya
Fernando Montoya is a notable individual distinguished enough to be specifically recognized among people sharing the Montoya surname.
- 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: Julián Romea Triple: [Romea Theatre, namedAfter, Julián Romea]
Generated description
Julián Romea was a prominent 19th-century Spanish actor and theater figure, renowned for his contributions to the development of modern Spanish drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julián Romea Target entity description: Julián Romea was a prominent 19th-century Spanish actor and theater figure, renowned for his contributions to the development of modern Spanish drama.
-
A.
Carlos Nieto
Carlos Nieto is a fictional New York City paramedic featured as one of the central characters in the television drama series "Third Watch."
-
B.
Javier Montoya
Javier Montoya is a notable individual distinguished enough to be recognized as a prominent bearer of the Montoya surname.
-
C.
Pedro Luque
Pedro Luque is a Uruguayan cinematographer known for his visually striking work on films such as "Society of the Snow" and "Don't Breathe."
-
D.
Xavier Loyá
Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
-
E.
Fernando Montoya
Fernando Montoya is a notable individual distinguished enough to be specifically recognized among people sharing the Montoya surname.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52747a8d88190ab59333937180edc |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b55d0f88190bd6853603f67e88d |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94f759e7c8190a9e2fd030977584d |
completed | April 10, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d952c334448190b1c21964b55a3a68 |
completed | April 10, 2026, 7:42 p.m. |
Created at: April 6, 2026, 12:37 p.m.