Triple
T18334854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Larry Arbogast |
E439243
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Kevin Wade |
—
|
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: Kevin Wade | Statement: [Dr. Larry Arbogast, creator, Kevin Wade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Wade Context triple: [Dr. Larry Arbogast, creator, Kevin Wade]
-
A.
Kevin Wade
chosen
Kevin Wade is an American screenwriter and television producer best known for writing the film "Working Girl" and creating the TV series "Blue Bloods."
-
B.
Jason Wade
Jason Wade is an American singer-songwriter best known as the lead vocalist and guitarist of the rock band Lifehouse.
-
C.
Ben Wade
Ben Wade is the charismatic yet ruthless outlaw leader portrayed by Russell Crowe in the 2007 Western film "3:10 to Yuma."
-
D.
Brian Patrick Wade
Brian Patrick Wade is an American actor best known for his roles in television series such as "Generation Kill," "Teen Wolf," and "The Big Bang Theory."
-
E.
Russell Wade
Russell Wade was an American film actor best known for his roles in 1940s Hollywood B-movies and thrillers.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecc91148190aa820fcd466009ce |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:36 a.m.