Triple
T7241117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Allende |
E155356
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Miguel Frías |
E155356
|
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: Miguel Frías | Statement: [Isabel Allende, spouse, Miguel Frías]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miguel Frías Context triple: [Isabel Allende, spouse, Miguel Frías]
-
A.
Miguel Frías
chosen
Miguel Frías is a Chilean engineer best known as the former husband of renowned writer Isabel Allende.
-
B.
José Antonio Núñez
José Antonio Núñez is a Mexican football executive best known for serving as the chairman of the Dorados de Sinaloa soccer club.
-
C.
Fernando Chacón
Fernando Chacón was a Spanish naval officer best known for his role as a commander in early 18th-century Mediterranean maritime conflicts.
-
D.
Fernando Medina
Fernando Medina is a Portuguese economist and politician who served as Mayor of Lisbon and later became Portugal’s Minister of Finance.
-
E.
Francisco Tomás Morales
Francisco Tomás Morales was a Spanish royalist military officer who played a leading role in the later stages of the Venezuelan War of Independence.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea39230481908401ead83d8666cd |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be10c5b081908210981ce9c45bd9 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 2:55 p.m.