Triple
T9869671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria |
E239923
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Josefa Ferrer
Josefa Ferrer is an actress known for playing the character Maria.
|
E825990
|
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: Josefa Ferrer | Statement: [Maria, portrayedBy, Josefa Ferrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josefa Ferrer Context triple: [Maria, portrayedBy, Josefa Ferrer]
-
A.
Isabelle Ferrer
Isabelle Ferrer is a French woman best known for being the former wife of legendary footballer and actor Eric Cantona.
-
B.
Norma Aleandro
Norma Aleandro is an acclaimed Argentine actress, screenwriter, and director, widely regarded as one of Latin America's most important film and theater performers.
-
C.
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.
-
D.
Esther Ferrer
Esther Ferrer is a Spanish performance and conceptual artist known for her pioneering work in action art and minimal, often participatory installations.
-
E.
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."
- 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: Josefa Ferrer Triple: [Maria, portrayedBy, Josefa Ferrer]
Generated description
Josefa Ferrer is an actress known for playing the character Maria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josefa Ferrer Target entity description: Josefa Ferrer is an actress known for playing the character Maria.
-
A.
Isabelle Ferrer
Isabelle Ferrer is a French woman best known for being the former wife of legendary footballer and actor Eric Cantona.
-
B.
Norma Aleandro
Norma Aleandro is an acclaimed Argentine actress, screenwriter, and director, widely regarded as one of Latin America's most important film and theater performers.
-
C.
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.
-
D.
Esther Ferrer
Esther Ferrer is a Spanish performance and conceptual artist known for her pioneering work in action art and minimal, often participatory installations.
-
E.
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."
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d498b481908f82f31f98b57c7e |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e46209988190b97aefee6cbddbad |
completed | April 5, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69d1e531a90c8190ba18113107ce1632 |
completed | April 5, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e5ab9e588190b4007fab67b0a712 |
completed | April 5, 2026, 4:31 a.m. |
Created at: March 30, 2026, 8:36 p.m.