Triple
T20525596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco Rabal |
E503925
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Teresa Rabal
Teresa Rabal is a Spanish actress, singer, and television presenter best known for her work in children's entertainment and family-oriented shows.
|
E1436338
|
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: Teresa Rabal | Statement: [Francisco Rabal, child, Teresa Rabal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Rabal Context triple: [Francisco Rabal, child, Teresa Rabal]
-
A.
Ana Torrent
Ana Torrent is a Spanish actress best known for her acclaimed childhood performances in films like "The Spirit of the Beehive" and "Cría cuervos."
-
B.
Paz Vega
Paz Vega is a Spanish actress known for her roles in films such as "Sex and Lucía," "Spanglish," and various international productions.
-
C.
Maribel Verdú
Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
-
D.
Carmen Maura
Carmen Maura is a renowned Spanish actress, closely associated with director Pedro Almodóvar, celebrated for her versatile performances in both comedic and dramatic roles.
-
E.
Sara Montiel
Sara Montiel was a celebrated Spanish actress and singer who became an international film star and cultural icon in the mid-20th century.
- 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: Teresa Rabal Triple: [Francisco Rabal, child, Teresa Rabal]
Generated description
Teresa Rabal is a Spanish actress, singer, and television presenter best known for her work in children's entertainment and family-oriented shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teresa Rabal Target entity description: Teresa Rabal is a Spanish actress, singer, and television presenter best known for her work in children's entertainment and family-oriented shows.
-
A.
Ana Torrent
Ana Torrent is a Spanish actress best known for her acclaimed childhood performances in films like "The Spirit of the Beehive" and "Cría cuervos."
-
B.
Paz Vega
Paz Vega is a Spanish actress known for her roles in films such as "Sex and Lucía," "Spanglish," and various international productions.
-
C.
Maribel Verdú
Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
-
D.
Carmen Maura
Carmen Maura is a renowned Spanish actress, closely associated with director Pedro Almodóvar, celebrated for her versatile performances in both comedic and dramatic roles.
-
E.
Sara Montiel
Sara Montiel was a celebrated Spanish actress and singer who became an international film star and cultural icon in the mid-20th century.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06504b48190b3f1defdc23a47d5 |
completed | April 20, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d4626d08190a87f07abd1380a3d |
completed | May 16, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a089e69e1bc8190b2975e9a810fba77 |
completed | May 16, 2026, 4:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089f4b56c48190a5e83f4678c525e3 |
completed | May 16, 2026, 4:46 p.m. |
Created at: April 16, 2026, 11:37 a.m.