Triple
T23470370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Sanguily |
E569209
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sanguily
Sanguily is a Spanish-origin surname most notably associated with Manuel Sanguily, a prominent Cuban patriot and politician.
|
E1589915
|
NE FINISHED |
How this triple was built (4 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: [Manuel Sanguily, familyName, Sanguily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanguily Context triple: [Manuel Sanguily, familyName, Sanguily]
-
A.
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.
-
B.
Bloodlust
Bloodlust is a studio album by American thrash metal band Body Count, known for its aggressive sound and politically charged lyrics.
-
C.
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.
-
D.
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.
-
E.
Dark Blood
Dark Blood is a crime thriller novel by Scottish author Stuart MacBride, featuring Detective Sergeant Logan McRae in a gritty Aberdeen-set investigation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sanguily Triple: [Manuel Sanguily, familyName, Sanguily]
Generated description
Sanguily is a Spanish-origin surname most notably associated with Manuel Sanguily, a prominent Cuban patriot and politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanguily Target entity description: Sanguily is a Spanish-origin surname most notably associated with Manuel Sanguily, a prominent Cuban patriot and politician.
-
A.
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.
-
B.
Bloodlust
Bloodlust is a studio album by American thrash metal band Body Count, known for its aggressive sound and politically charged lyrics.
-
C.
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.
-
D.
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.
-
E.
Dark Blood
Dark Blood is a crime thriller novel by Scottish author Stuart MacBride, featuring Detective Sergeant Logan McRae in a gritty Aberdeen-set investigation.
- F. None of above. chosen
Provenance (5 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6ff8dc0819086961b1f07030d9c |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c825dcbdc819090002d36ef823a2f |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6efb0d88190bf15b18cc3f12482 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca819f6dc8190852bb3c06768ac5a |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:54 p.m.