Triple
T5524916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego |
E144898
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Dieguito |
E15778
|
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: Dieguito | Statement: [Diego, hasDiminutive, Dieguito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dieguito Context triple: [Diego, hasDiminutive, Dieguito]
-
A.
Gaspar
Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
-
B.
Diego
chosen
Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
-
C.
Ignacio
Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Juanito
Juanito is a character from John Steinbeck’s novella "The Girl of the Sea of Cortez," serving as part of the story’s intimate portrait of life and relationships in a small Gulf of California fishing community.
-
E.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f874bd081909cccfc25767ee6fa |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027fa22108190b55c07fe930ca4f1 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.