Triple
T7142004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Bates |
E166466
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Greg Corbin |
E168540
|
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: Greg Corbin | Statement: [Terry Bates, spouse, Greg Corbin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Corbin Context triple: [Terry Bates, spouse, Greg Corbin]
-
A.
Greg Corbin
chosen
Greg Corbin is a character from the animated television series "American Dad!", known as Stan Smith’s liberal, openly gay neighbor and local news anchor.
-
B.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
-
C.
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.
-
D.
Tony Gayton
Tony Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
-
E.
Tim DeKay
Tim DeKay is an American actor best known for his television roles in series such as White Collar and Carnivàle.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e778875c8190a5202d3efe5a842d |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c82754e9248190b86b05b61a4ae23c |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 2:45 p.m.