Triple
T3172503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrence J |
E66385
|
entity |
| Predicate | coHostWith |
P5275
|
FINISHED |
| Object |
Rocsi Diaz
Rocsi Diaz is an American television and radio personality best known as a former co-host of BET’s music video countdown show 106 & Park.
|
E345136
|
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: Rocsi Diaz | Statement: [Terrence J, coHostWith, Rocsi Diaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocsi Diaz Context triple: [Terrence J, coHostWith, Rocsi Diaz]
-
A.
Miluska Rosales
Miluska Rosales is known as the spouse of Italian actor and television personality Rossano Rubicondi.
-
B.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
C.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
D.
Tatiana Gutierrez
Tatiana Gutierrez is a recurring nurse character in The Evil Within survival horror video game series, serving as a mysterious guide and save-point attendant for the protagonist within the STEM world.
-
E.
Michelle Navarro
Michelle Navarro is an individual notable enough to be recognized as a prominent bearer of the Navarro surname.
- 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: Rocsi Diaz Triple: [Terrence J, coHostWith, Rocsi Diaz]
Generated description
Rocsi Diaz is an American television and radio personality best known as a former co-host of BET’s music video countdown show 106 & Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rocsi Diaz Target entity description: Rocsi Diaz is an American television and radio personality best known as a former co-host of BET’s music video countdown show 106 & Park.
-
A.
Miluska Rosales
Miluska Rosales is known as the spouse of Italian actor and television personality Rossano Rubicondi.
-
B.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
C.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
D.
Tatiana Gutierrez
Tatiana Gutierrez is a recurring nurse character in The Evil Within survival horror video game series, serving as a mysterious guide and save-point attendant for the protagonist within the STEM world.
-
E.
Michelle Navarro
Michelle Navarro is an individual notable enough to be recognized as a prominent bearer of the Navarro surname.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66da23c81908f063b44b48b1e53 |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e81e6f98819099317f97f0c7f546 |
completed | March 12, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_69b2ec48bf888190a5eeac0aa2cc50c3 |
completed | March 12, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ecd134e88190933e52d7f1f5be2a |
completed | March 12, 2026, 4:41 p.m. |
Created at: March 8, 2026, 3:06 p.m.