Triple
T6993288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proximal Policy Optimization |
E162136
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | Alec Radford |
E154209
|
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: Alec Radford | Statement: [Proximal Policy Optimization, introducedBy, Alec Radford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alec Radford Context triple: [Proximal Policy Optimization, introducedBy, Alec Radford]
-
A.
Alec Radford
chosen
Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
-
B.
Alec Ramsey
Alec Ramsey is the young boy protagonist of Walter Farley’s classic children’s novel series "The Black Stallion," known for his deep bond with a wild Arabian stallion.
-
C.
Alec Mazo
Alec Mazo is a professional ballroom dancer and choreographer best known for his appearances and championship win on the U.S. television show Dancing with the Stars.
-
D.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
E.
Adam Ryen
Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbc30fdc81909244d83c8178755c |
completed | March 27, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a161f088190bbc3c4e2815fa929 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:32 p.m.