Triple
T8166897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Chávez |
E190714
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dennis Chávez |
E190714
|
NE FINISHED |
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: Dennis Chávez | Statement: [Dennis Chávez, name, Dennis Chávez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Chávez Context triple: [Dennis Chávez, name, Dennis Chávez]
-
A.
Dennis Chávez
chosen
Dennis Chávez was a prominent 20th-century American politician who served as a U.S. Senator from New Mexico and was one of the first Hispanic Americans elected to the Senate.
-
B.
Jose Francisco Chaves
Jose Francisco Chaves was a 19th-century New Mexican military officer, politician, and influential territorial leader after whom Chaves County, New Mexico, is named.
-
C.
Raúl Dávalos
Raúl Dávalos is an editor known for his work on the film "Cronos."
-
D.
Miguel Briseño
Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
-
E.
Michele Tafoya
Michele Tafoya is an American sportscaster best known for her long tenure as a sideline reporter on major NFL broadcasts, including Sunday Night Football.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb46680fac81908df134df9bf84915 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced5a4398819085364b3a45a85941 |
completed | April 1, 2026, 10:03 a.m. |
Created at: March 30, 2026, 5:39 p.m.