Triple
T10342303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Manuel Barroso |
E243154
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | José Manuel |
E799194
|
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: José Manuel | Statement: [José Manuel Barroso, givenName, José Manuel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Manuel Context triple: [José Manuel Barroso, givenName, José Manuel]
-
A.
José Manuel
chosen
José Manuel is the Portuguese politician and academic best known for serving as President of the European Commission from 2004 to 2014.
-
B.
Antonio López Habas
Antonio López Habas is a Spanish football manager best known for leading Atlético de Kolkata to success in the Indian Super League.
-
C.
José Manuel Jiménez
José Manuel Jiménez is a film editor known for his work on the action thriller sequel "Backdraft 2."
-
D.
Manuel Espinosa Yglesias
Manuel Espinosa Yglesias was a prominent Mexican banker and philanthropist known for his influential role in Mexico’s financial sector and his support of cultural institutions.
-
E.
Antonio Tavira
Antonio Tavira was a notable Spanish cleric and intellectual whose legacy is commemorated by the naming of the Tavira Tower.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79508427c81909db511e969bc9ddb |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:55 a.m.