Triple
T8835625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABA All-Time Team |
E210259
|
entity |
| Predicate | player |
P30628
|
FINISHED |
| Object | Byron Beck |
E158499
|
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: Byron Beck | Statement: [ABA All-Time Team, player, Byron Beck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byron Beck Context triple: [ABA All-Time Team, player, Byron Beck]
-
A.
Byron Beck
chosen
Byron Beck was a standout center and fan favorite for the Denver Rockets/Nuggets franchise, known for his rebounding, toughness, and status as one of the team’s earliest stars in the ABA.
-
B.
Byron Douglas
Byron Douglas is an actor known for his role in the animated series "Speedy."
-
C.
Byron Corbett
Byron Corbett is an individual notable enough to be recognized as a prominent bearer of the surname Corbett.
-
D.
Byron Hadley
Byron Hadley is a brutal and authoritarian prison guard captain from Stephen King’s novella “Rita Hayworth and Shawshank Redemption” and its film adaptation “The Shawshank Redemption.”
-
E.
Byron Mann
Byron Mann is a Hong Kong–American actor known for his roles in film and television, including prominent parts in action movies and series such as "Altered Carbon" and "Arrow."
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa069d7488190ade4caa15fa83cd9 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:47 p.m.