Triple
T12277167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Robert Hartley |
E292616
|
entity |
| Predicate | hasSecretary |
P16429
|
FINISHED |
| Object | Carol Kester |
E294362
|
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: Carol Kester | Statement: [Dr. Robert Hartley, hasSecretary, Carol Kester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Kester Context triple: [Dr. Robert Hartley, hasSecretary, Carol Kester]
-
A.
Carol Kester
chosen
Carol Kester is the witty, fast-talking receptionist on the classic American sitcom "The Bob Newhart Show."
-
B.
Marilyn Vance
Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
-
C.
Patti Deutsch
Patti Deutsch was an American comedic actress and voice artist known for her distinctive nasal voice and appearances on game shows and in animated films and television series.
-
D.
Sol Lesser
Sol Lesser was an American film producer best known for his extensive work on the Tarzan movie series during the mid-20th century.
-
E.
Betty Parker
Betty Parker is the daughter of Trey Parker, the American animator, writer, and co-creator of the television series "South Park."
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63464486c819085452675a43785b1 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.