Triple
T7095283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J.R. Giddens |
E165309
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Justin Ray |
E174697
|
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: Justin Ray | Statement: [J.R. Giddens, givenName, Justin Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Ray Context triple: [J.R. Giddens, givenName, Justin Ray]
-
A.
Justin Ray
chosen
Justin Ray "J.R." Giddens is an American former professional basketball player best known for his college career at the University of New Mexico and his time in the NBA with the Boston Celtics.
-
B.
Matthew York
Matthew York is the son of American actor Dick York, best known for his role as the original Darrin Stephens on the television series "Bewitched."
-
C.
Justin Raisen
Justin Raisen is an American record producer and songwriter known for his work with a wide range of indie, pop, and alternative artists.
-
D.
Alex Ray
Alex Ray is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay (HER) algorithm that improves learning from sparse rewards.
-
E.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5530f2081908ac969ddfa7e9b5a |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a320ce248190b8aa12f95aa9e008 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:41 p.m.