Triple
T14537037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Gagnon |
E341071
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Ritchie Diaz |
E1191432
|
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: Ritchie Diaz | Statement: [Trevor Gagnon, notableRole, Ritchie Diaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ritchie Diaz Context triple: [Trevor Gagnon, notableRole, Ritchie Diaz]
-
A.
Ritchie Diaz
chosen
Ritchie Diaz is a fictional character portrayed by actor Trevor Gagnon, likely appearing in a film or television production.
-
B.
Jose Rios
Jose Rios is a guitarist and producer best known as a member of the soul and R&B band Free Nationals, frequently associated with Anderson .Paak.
-
C.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
D.
Frank Dominguez
Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
-
E.
Carlos Reyes
Carlos Reyes is a fictional Austin police officer and key ensemble character in the television drama series "9-1-1: Lone Star."
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff78ad38481908df2338aaf276da9 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 1:22 a.m.