Triple
T4720223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María del Carmen Franco y Polo |
E104745
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Carmen Polo |
E103827
|
NE FINISHED |
How this triple was built (2 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 Polo | Statement: [María del Carmen Franco y Polo, mother, Carmen Polo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmen Polo Context triple: [María del Carmen Franco y Polo, mother, Carmen Polo]
-
A.
Carmen Polo
chosen
Carmen Polo was a Spanish noblewoman best known as the wife of dictator Francisco Franco and a prominent figure in Francoist Spain’s social and political elite.
-
B.
Carmen Larbalestier
Carmen Larbalestier is a British woman best known as the mother of seven-time Formula One World Champion Lewis Hamilton.
-
C.
Carmen Valverde
Carmen Valverde was the wife of Venezuelan statesman and two-time president Rómulo Betancourt.
-
D.
Maria Cerezo
Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
-
E.
Carmen De Rue
Carmen De Rue was a silent film actress who appeared in early 20th-century American cinema, including the 1926 film "Sparrows."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6428e9e081908ce4041183cad13b |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108fe3b08190b3d306ca4b39860d |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.