Triple
T22002463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Begley |
E543364
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Edward James Begley |
—
|
NE NERFINISHED |
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: Edward James Begley | Statement: [Ed Begley, birthName, Edward James Begley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward James Begley Context triple: [Ed Begley, birthName, Edward James Begley]
-
A.
Ed Begley
chosen
Ed Begley was an American character actor and Academy Award winner known for his prolific film, television, and stage work in the mid-20th century.
-
B.
Andy Phillip
Andy Phillip was an American professional basketball player and Hall of Famer, best known as one of the early stars of the NBA in the 1940s and 1950s.
-
C.
Scott Baio
Scott Baio is an American actor best known for his roles on the television series "Happy Days," "Joanie Loves Chachi," and "Charles in Charge."
-
D.
Dennis Feldman
Dennis Feldman is an American screenwriter and photographer best known for writing genre films such as "The Golden Child" and "Species."
-
E.
Ed Begley Jr.
Ed Begley Jr. is an American actor known for his prolific film and television career and his prominent environmental activism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276bf2a48190910d9c27f1c5e74f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.