Triple
T21320875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Topete |
E525609
|
entity |
| Predicate | nameString |
P744
|
FINISHED |
| Object | Miguel Topete |
—
|
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: Miguel Topete | Statement: [Miguel Topete, nameString, Miguel Topete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miguel Topete Context triple: [Miguel Topete, nameString, Miguel Topete]
-
A.
Miguel Topete
chosen
Miguel Topete is a relatively obscure individual whose name is noted primarily as a bearer of the surname Topete, with no widely documented public achievements or roles.
-
B.
Luis Topete
Luis Topete is a person notable enough to be recognized as a prominent bearer of the surname Topete.
-
C.
Rafael Topete
Rafael Topete is an individual notable enough to be recognized as a namesake of the surname Topete, though specific widely known public details about him are limited.
-
D.
Roberto Topete
Roberto Topete is a relatively obscure individual whose name is recognized primarily through limited references rather than widespread public prominence.
-
E.
Luis Felipe Magaña
Luis Felipe Magaña is an individual notable enough to be recognized as a prominent bearer of the surname Magaña.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed0a2788190b6a71c8c720173dc |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:39 p.m.