Triple
T6955199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted (TV series) |
E161223
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Max Burkholder |
E349971
|
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: Max Burkholder | Statement: [Ted (TV series), stars, Max Burkholder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Burkholder Context triple: [Ted (TV series), stars, Max Burkholder]
-
A.
Max Burkholder
chosen
Max Burkholder is an American actor best known for playing Max Braverman on the television series "Parenthood."
-
B.
Kevin Willard
Kevin Willard is an American college basketball coach best known for leading the University of Maryland men's basketball program after a successful tenure at Seton Hall.
-
C.
Danny McGuire
Danny McGuire is a former English rugby league stand-off and scrum-half best known for his prolific try-scoring and trophy-laden career with Leeds Rhinos and the England national team.
-
D.
Clif Smart
Clif Smart is an American academic administrator and attorney best known for serving as the president of Missouri State University.
-
E.
Tom Burleson
Tom Burleson is a retired American professional basketball center best known for his shot-blocking and rebounding in the NBA during the 1970s.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dace1a94819095311e4288f01784 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75883f6888190a75515be49e7879e |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.