Triple
T14127433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego de Deza |
E340069
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Deza
de Deza is a Spanish surname historically associated with figures such as the Dominican friar and Grand Inquisitor Diego de Deza.
|
E1081385
|
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: de Deza | Statement: [Diego de Deza, familyName, de Deza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Deza Context triple: [Diego de Deza, familyName, de Deza]
-
A.
Zarda
Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
-
B.
Belouizdad
Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
-
C.
DeMbare
DeMbare is the popular nickname of Dynamos F.C., one of Zimbabwe’s most successful and widely supported football clubs.
-
D.
Daule
Daule is a town and canton in coastal Ecuador known for its rice production and location within the Guayas Province.
-
E.
Kushma
Kushma is a small town in central Nepal known for its dramatic suspension bridges and role as the administrative center of Parbat District.
- 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: de Deza Triple: [Diego de Deza, familyName, de Deza]
Generated description
de Deza is a Spanish surname historically associated with figures such as the Dominican friar and Grand Inquisitor Diego de Deza.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Deza Target entity description: de Deza is a Spanish surname historically associated with figures such as the Dominican friar and Grand Inquisitor Diego de Deza.
-
A.
Zarda
Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
-
B.
Belouizdad
Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
-
C.
DeMbare
DeMbare is the popular nickname of Dynamos F.C., one of Zimbabwe’s most successful and widely supported football clubs.
-
D.
Daule
Daule is a town and canton in coastal Ecuador known for its rice production and location within the Guayas Province.
-
E.
Kushma
Kushma is a small town in central Nepal known for its dramatic suspension bridges and role as the administrative center of Parbat District.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6098013c8190b1bac9d3fff60acd |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0c833081908458e4eaee689df7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce094bf3081909f7c0097dcb63398 |
completed | May 7, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce14ff8e48190b3b663d130d18418 |
completed | May 7, 2026, 7 p.m. |
Created at: April 9, 2026, 10:22 p.m.