Triple
T22891500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Kaan |
E568050
|
entity |
| Predicate | teamMember |
P7184
|
FINISHED |
| Object | Clyde Oberholt |
—
|
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: Clyde Oberholt | Statement: [Marty Kaan, teamMember, Clyde Oberholt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clyde Oberholt Context triple: [Marty Kaan, teamMember, Clyde Oberholt]
-
A.
Clyde Oberholt
chosen
Clyde Oberholt is a fast-talking, ambitious management consultant and key member of the central consulting team in the television series "House of Lies."
-
B.
Jim McClain
Jim McClain is a writer known for creating the story for the work titled "Robots."
-
C.
Alden J. Blethen
Alden J. Blethen was an American newspaper publisher best known for transforming The Seattle Times into a major regional daily in the early 20th century.
-
D.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
E.
Hank McCamish
Hank McCamish was a prominent Atlanta insurance executive and philanthropist whose support for Georgia Tech athletics led to the university’s basketball arena being named in his honor.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc59e108190a22f90c2439830fb |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.