Triple
T5649833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele |
E124474
|
entity |
| Predicate | hasFamousBearer |
P458
|
FINISHED |
| Object | Michele Tafoya |
E43302
|
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: Michele Tafoya | Statement: [Michele, hasFamousBearer, Michele Tafoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Tafoya Context triple: [Michele, hasFamousBearer, Michele Tafoya]
-
A.
Michele Tafoya
chosen
Michele Tafoya is an American sportscaster best known for her long tenure as a sideline reporter on major NFL broadcasts, including Sunday Night Football.
-
B.
Miguel Briseño
Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
-
C.
H. Scott Salinas
H. Scott Salinas is an American film and television composer known for his dramatic and emotionally driven scores.
-
D.
David Mendoza
David Mendoza was a composer and conductor active in early 20th-century cinema, known for his work on silent film scores.
-
E.
Bernardo Abeyta
Bernardo Abeyta was a 19th-century New Mexican devout Catholic credited with establishing the famed pilgrimage site and shrine at El Santuario de Chimayó.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d2ed648190a5152c8668cbda02 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d90c04881908740fb1089c5248a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:42 p.m.