Triple
T14364603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Reyes |
E356197
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Greg Reyes |
E356197
|
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: Greg Reyes | Statement: [Greg Reyes, knownAs, Greg Reyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Reyes Context triple: [Greg Reyes, knownAs, Greg Reyes]
-
A.
Greg Reyes
chosen
Greg Reyes is an American businessman best known as the founding CEO of semiconductor company LSI Logic and a prominent figure in the tech industry.
-
B.
Carlos Reyes
Carlos Reyes is a fictional Austin police officer and key ensemble character in the television drama series "9-1-1: Lone Star."
-
C.
Rob Echeverria
Rob Echeverria is a guitarist best known for his work with the New York metal band Helmet.
-
D.
Christopher Rivera
Christopher Rivera is a child actor best known for his role in the critically acclaimed indie film "The Florida Project."
-
E.
Felipe Reyes
Felipe Reyes is a retired Spanish professional basketball player renowned as one of Real Madrid and the Spanish national team’s most successful and long-serving power forwards.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec86c6c6c8190957e398e3dcdd840 |
completed | May 9, 2026, 5:38 a.m. |
Created at: April 10, 2026, 1:15 a.m.