Triple
T1993444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele Tafoya |
E43302
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tafoya
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
|
E229270
|
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: Tafoya | Statement: [Michele Tafoya, familyName, Tafoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tafoya Context triple: [Michele Tafoya, familyName, Tafoya]
-
A.
Mocorito
Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
-
B.
Zapatoca
Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
-
C.
Tinajo
Tinajo is a rural municipality on the western side of Lanzarote in Spain’s Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
-
D.
Choachí
Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
-
E.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
- 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: Tafoya Triple: [Michele Tafoya, familyName, Tafoya]
Generated description
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tafoya Target entity description: Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
-
A.
Mocorito
Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
-
B.
Zapatoca
Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
-
C.
Tinajo
Tinajo is a rural municipality on the western side of Lanzarote in Spain’s Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
-
D.
Choachí
Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
-
E.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86275c88190bed869e9d3cf7ed5 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fdd7b5c8190bf23a138c28857f8 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae2078f5bc81909e4226e4f4188e87 |
completed | March 9, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2121a43481908ea6eef3d4e06407 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:37 p.m.