Triple
T10072134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Beesley |
E213654
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Maxton Gig Beesley Jr. |
E213654
|
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: Maxton Gig Beesley Jr. | Statement: [Max Beesley, birthName, Maxton Gig Beesley Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxton Gig Beesley Jr. Context triple: [Max Beesley, birthName, Maxton Gig Beesley Jr.]
-
A.
Max Beesley
chosen
Max Beesley is an English actor and musician known for his roles in film and television dramas, as well as his work as a session keyboardist.
-
B.
Bewley
Bewley is an English-language surname borne by various notable individuals across fields such as acting, sports, and public service.
-
C.
Bickley
Bickley is a suburban residential area in the London Borough of Bromley, known for its leafy streets, large Victorian and Edwardian houses, and commuter links into central London.
-
D.
Don Bexley
Don Bexley was an American actor and comedian best known for his role as Bubba Bexley on the television series "Sanford and Son."
-
E.
Blackley
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29aaa61308190b134b49a6c1c1131 |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:59 p.m.