Triple
T22002493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Begley |
E543364
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ed Begley Jr. |
—
|
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: Ed Begley Jr. | Statement: [Ed Begley, child, Ed Begley Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Begley Jr. Context triple: [Ed Begley, child, Ed Begley Jr.]
-
A.
Ed Begley Jr.
chosen
Ed Begley Jr. is an American actor known for his prolific film and television career and his prominent environmental activism.
-
B.
Ed Begley
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.
-
C.
Ben Cahoon
Ben Cahoon is a former Canadian Football League slotback widely regarded as one of the most reliable and productive receivers in Montreal Alouettes history.
-
D.
Timothy Busfield
Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
-
E.
Alan Ruck
Alan Ruck is an American actor best known for his roles as Cameron Frye in "Ferris Bueller's Day Off" and Connor Roy in the television series "Succession."
- 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.