Triple
T23499551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julio Sanguily |
E571801
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sanguily |
—
|
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: Sanguily | Statement: [Julio Sanguily, familyName, Sanguily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanguily Context triple: [Julio Sanguily, familyName, Sanguily]
-
A.
Sanguily
chosen
Sanguily is a Spanish-origin surname most notably associated with Manuel Sanguily, a prominent Cuban patriot and politician.
-
B.
Sanguem
Sanguem is a town and administrative taluka in the Indian state of Goa, known for its rural landscape, waterfalls, and proximity to wildlife sanctuaries.
-
C.
Bloodlust
Bloodlust is a studio album by American thrash metal band Body Count, known for its aggressive sound and politically charged lyrics.
-
D.
Bloodbath
Bloodbath is a Swedish death metal supergroup known for its old-school extreme metal sound and featuring members from prominent bands like Opeth and Katatonia.
-
E.
the Blood-Shedder
The Blood-Shedder is a grim epithet referring to As-Saffah, the first Abbasid caliph, highlighting his reputation for ruthless violence against his enemies.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fb71c08190a30500b3f63a9ce6 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.