Triple
T2863893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley Beal |
E63389
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Beal |
E63389
|
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: Beal | Statement: [Bradley Beal, familyName, Beal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beal Context triple: [Bradley Beal, familyName, Beal]
-
A.
Beal
chosen
Beal is a surname most prominently associated with NBA All-Star shooting guard Bradley Beal.
-
B.
Beasley
Beasley is a surname most prominently associated with DaMarcus Beasley, a former United States international soccer player known for his World Cup appearances and club career in MLS and Europe.
-
C.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
D.
Beale Farange
Beale Farange is a central figure in Henry James's novel "What Maisie Knew," portrayed as Maisie's selfish and irresponsible father whose bitter divorce and neglect shape her troubled upbringing.
-
E.
Bellew
Bellew is a surname most prominently associated with British former professional boxer and world cruiserweight champion Tony Bellew.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb853908190aa2fd492e9fa5e87 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01da030a88190b9e23a461695176f |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.