Triple
T13779386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Collar |
E331094
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tim DeKay |
E438716
|
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: Tim DeKay | Statement: [White Collar, starring, Tim DeKay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim DeKay Context triple: [White Collar, starring, Tim DeKay]
-
A.
Tim DeKay
chosen
Tim DeKay is an American actor best known for his television roles in series such as White Collar and Carnivàle.
-
B.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
C.
Eric Crouch
Eric Crouch is a former American college quarterback best known for his dynamic dual-threat play at the University of Nebraska, where he became one of the nation’s top offensive stars in the early 2000s.
-
D.
Mark DeBarge
Mark DeBarge is an American R&B singer and musician best known as a member of the family group DeBarge, popular in the 1980s.
-
E.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7cfcf748190944ffea7582d4f66 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:11 p.m.