Triple
T7759437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue McClanahan |
E175979
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Maude |
E31756
|
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: Maude | Statement: [Rue McClanahan, notableWork, Maude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maude Context triple: [Rue McClanahan, notableWork, Maude]
-
A.
Maude
chosen
Maude is a 1970s American sitcom created by Norman Lear that follows the outspoken, liberal Maude Findlay and is known for tackling controversial social and political issues with sharp humor.
-
B.
Maude
Maude is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
-
C.
Maude
Maude is a surname most notably associated with British Lieutenant General Sir Frederick Stanley Maude, a key military commander during World War I.
-
D.
Maude Findlay
Maude Findlay is the outspoken, liberal, middle-aged feminist protagonist of the 1970s American sitcom "Maude," portrayed by Bea Arthur.
-
E.
The Golden Girls
The Golden Girls is a beloved American sitcom about four older women sharing a home in Miami, celebrated for its sharp humor, progressive themes, and enduring cultural impact.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703de43d08190ac28bc17cd3e5ffa |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7cf538c8190aa86c27fff42efb0 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:09 p.m.