Triple
T12225503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bewitched |
E291339
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Dick Sargent |
E651985
|
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: Dick Sargent | Statement: [Bewitched, portrayedBy, Dick Sargent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick Sargent Context triple: [Bewitched, portrayedBy, Dick Sargent]
-
A.
Dick Sargent
chosen
Dick Sargent was an American actor best known for playing Darrin Stephens on the television sitcom "Bewitched" after taking over the role from Dick York.
-
B.
John Hembree
John Hembree is a musician best known for briefly serving as a bassist for the American rock band Paramore.
-
C.
Bill Sullivan
Bill Sullivan is the father of James P. "Sulley" Sullivan, the main monster character in Pixar's animated film "Monsters, Inc."
-
D.
Alvin Sargent
Alvin Sargent was an American screenwriter best known for his Oscar-winning work on films like "Julia" and "Ordinary People" and for co-writing several "Spider-Man" movies.
-
E.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716afa8008190b4c518dd6004d87a |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 8, 2026, 9:51 p.m.