Triple
T6426145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory Rabassa |
E128061
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Carmen Rabassa
Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
|
E597543
|
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: Carmen Rabassa | Statement: [Gregory Rabassa, spouse, Carmen Rabassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmen Rabassa Context triple: [Gregory Rabassa, spouse, Carmen Rabassa]
-
A.
Carmen Laffón
Carmen Laffón was a renowned Spanish painter and sculptor known for her poetic, introspective landscapes and intimate figurative works.
-
B.
Carmen Calvo
Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
-
C.
Francisca Subirana
Francisca Subirana was the wife of Cuban-born inventor, diplomat, and philanthropist Ricardo Wolf.
-
D.
Inés García
Inés García was the wife of Mexican general and politician Antonio López de Santa Anna, associated with his personal and political life during 19th-century Mexico.
-
E.
Pilar Roldán
Pilar Roldán is a Mexican fencer best known for taking the Olympic Oath for athletes and winning a silver medal in women's foil at the 1968 Mexico City Games.
- 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: Carmen Rabassa Triple: [Gregory Rabassa, spouse, Carmen Rabassa]
Generated description
Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carmen Rabassa Target entity description: Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
-
A.
Carmen Laffón
Carmen Laffón was a renowned Spanish painter and sculptor known for her poetic, introspective landscapes and intimate figurative works.
-
B.
Carmen Calvo
Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
-
C.
Francisca Subirana
Francisca Subirana was the wife of Cuban-born inventor, diplomat, and philanthropist Ricardo Wolf.
-
D.
Inés García
Inés García was the wife of Mexican general and politician Antonio López de Santa Anna, associated with his personal and political life during 19th-century Mexico.
-
E.
Pilar Roldán
Pilar Roldán is a Mexican fencer best known for taking the Olympic Oath for athletes and winning a silver medal in women's foil at the 1968 Mexico City Games.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691f944c81909d4e5d8ef9e494b6 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fc4dc588190ad983fde8969c20f |
completed | March 27, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69c6604e8e9081908d26e98daf3a2704 |
completed | March 27, 2026, 10:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c660af0e20819095a71c3014b4d0e2 |
completed | March 27, 2026, 10:49 a.m. |
Created at: March 22, 2026, 4:43 p.m.