Triple
T17861325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuela Escobar |
E446077
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Manuela |
E325930
|
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: Manuela | Statement: [Manuela Escobar, givenName, Manuela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manuela Context triple: [Manuela Escobar, givenName, Manuela]
-
A.
Manuela
chosen
Manuela is the given name of Maria Manuela, a 16th-century Portuguese princess who became Queen of Castile through marriage to King Philip II of Spain.
-
B.
Carmelina
Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
-
C.
Inés
Inés is a feminine given name, especially common in Spanish-speaking countries, derived from the name Agnes.
-
D.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
E.
Aleida
Aleida is a feminine given name of Spanish origin, notably borne by Aleida Guevara, the daughter of revolutionary leader Che Guevara.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a032ffc69cc8190840b439ec5ddf90d |
completed | May 12, 2026, 1:49 p.m. |
Created at: April 10, 2026, 10:17 a.m.