Triple
T19731654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | António Ramalho Eanes |
E473867
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eanes |
—
|
NE NERFINISHED |
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: Eanes | Statement: [António Ramalho Eanes, familyName, Eanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eanes Context triple: [António Ramalho Eanes, familyName, Eanes]
-
A.
Eanes
chosen
Eanes is a Portuguese surname most prominently associated with António Ramalho Eanes, the former President of Portugal.
-
B.
De la Garza
De la Garza is the fictional Mexican family surname central to Laura Esquivel’s novel "Like Water for Chocolate," associated with the domineering matriarch Mama Elena and her daughters.
-
C.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
D.
Warley
Warley is a suburban area in the West Midlands of England, historically associated with industrial growth and now part of the wider urban region around Oldbury and Birmingham.
-
E.
Zavalla
Zavalla is a town in the Rosario Department of Santa Fe Province, Argentina, known for its agricultural surroundings and small-town character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:47 p.m.