Triple
T23501638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archuleta County, Colorado |
E571862
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Antonio José Archuleta
Antonio José Archuleta was a 19th-century Colorado politician and legislator after whom Archuleta County in Colorado is named.
|
E1588677
|
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: Antonio José Archuleta | Statement: [Archuleta County, Colorado, namedAfter, Antonio José Archuleta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonio José Archuleta Context triple: [Archuleta County, Colorado, namedAfter, Antonio José Archuleta]
-
A.
Michael Canales
Michael Canales is an American orthopedic surgeon and former collegiate gymnast best known as the husband of Olympic gold medalist Dominique Moceanu.
-
B.
Michael Muñoz
Michael Muñoz is the son of Pro Football Hall of Fame offensive tackle Anthony Muñoz and a former American football offensive lineman who played in college and briefly in the NFL.
-
C.
Benito González
Benito González was a prominent member of La Trinitaria, the secret society that played a key role in the Dominican Republic’s independence movement.
-
D.
Rio Kelly Lujan
Rio Kelly Lujan is the son of American actress Sean Young.
-
E.
Matthew Saldivar
Matthew Saldivar is an American stage actor best known for his work in Broadway musicals and plays.
- 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: Antonio José Archuleta Triple: [Archuleta County, Colorado, namedAfter, Antonio José Archuleta]
Generated description
Antonio José Archuleta was a 19th-century Colorado politician and legislator after whom Archuleta County in Colorado is named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antonio José Archuleta Target entity description: Antonio José Archuleta was a 19th-century Colorado politician and legislator after whom Archuleta County in Colorado is named.
-
A.
Michael Canales
Michael Canales is an American orthopedic surgeon and former collegiate gymnast best known as the husband of Olympic gold medalist Dominique Moceanu.
-
B.
Michael Muñoz
Michael Muñoz is the son of Pro Football Hall of Fame offensive tackle Anthony Muñoz and a former American football offensive lineman who played in college and briefly in the NFL.
-
C.
Benito González
Benito González was a prominent member of La Trinitaria, the secret society that played a key role in the Dominican Republic’s independence movement.
-
D.
Rio Kelly Lujan
Rio Kelly Lujan is the son of American actress Sean Young.
-
E.
Matthew Saldivar
Matthew Saldivar is an American stage actor best known for his work in Broadway musicals and plays.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fd65e08190ae94ad4f0638cc0e |
completed | April 29, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8275e2bc8190a908d41a9824f2f8 |
completed | May 19, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a0ca6f229308190bf72b52fd44144d3 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7e9e9988190ac3bedb9ecb8ce06 |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 6:06 p.m.