Triple
T6736376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Beasley |
E153764
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Beasley |
E153764
|
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: John Beasley | Statement: [John Beasley, name, John Beasley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Beasley Context triple: [John Beasley, name, John Beasley]
-
A.
John Beasley
chosen
John Beasley is a former American professional basketball player best known for his standout career in the American Basketball Association during the late 1960s and early 1970s.
-
B.
Chuck Beeson
Chuck Beeson is an artist known for creating cover artwork, particularly in the fantasy genre.
-
C.
Jeffrey Paley
Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
-
D.
Tim Bagley
Tim Bagley is an American character actor and comedian known for his numerous supporting roles in film and television, including appearances in popular comedies throughout the 1990s and 2000s.
-
E.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18369d88190a73349075462202b |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b09b97c8190a5a538571b6909f0 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.