Triple
T14644902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9 to 5 |
E343819
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Doralee Rhodes |
E488973
|
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: Doralee Rhodes | Statement: [9 to 5, hasCharacter, Doralee Rhodes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doralee Rhodes Context triple: [9 to 5, hasCharacter, Doralee Rhodes]
-
A.
Doralee Rhodes
chosen
Doralee Rhodes is the charismatic, sharp-witted secretary played by Dolly Parton in the 1980 comedy film "9 to 5."
-
B.
Dinny Cherrell
Dinny Cherrell is the intelligent, poised, and morally perceptive young Englishwoman who serves as the central figure in John Galsworthy’s novel "Maid in Waiting."
-
C.
Cynthia Rhodes
Cynthia Rhodes is an American actress, singer, and dancer best known for her roles in 1980s films such as "Flashdance," "Staying Alive," and "Dirty Dancing."
-
D.
Wendy Rhoades
Wendy Rhoades is a brilliant in-house performance coach and psychiatrist at the hedge fund Axe Capital in the television drama "Billions," known for her sharp psychological insight and complex personal loyalties.
-
E.
Arlene Miles
Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ea6d8481908e6331ca173c646b |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d5d05481908dbb23392c05d23b |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.