Triple
T19532766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Lies |
E488694
|
entity |
| Predicate | characterPortrayed |
P1507
|
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: [House of Lies, characterPortrayed, Clyde Oberholt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clyde Oberholt Context triple: [House of Lies, characterPortrayed, 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.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
D.
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.
-
E.
Walt Willey
Walt Willey is an American actor best known for his long-running role as attorney Jackson Montgomery on the soap opera "All My Children."
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6364091f4819088b27d0ffdf6010d |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.