Triple
T12277252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenzo Music |
E292619
|
entity |
| Predicate | writerFor |
P2831
|
FINISHED |
| Object | Rhoda |
E331702
|
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: Rhoda | Statement: [Lorenzo Music, writerFor, Rhoda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhoda Context triple: [Lorenzo Music, writerFor, Rhoda]
-
A.
Rhoda
chosen
Rhoda is an American television sitcom centered on the character Rhoda Morgenstern, a spin-off from the acclaimed series "The Mary Tyler Moore Show."
-
B.
Rhoda
Rhoda is a sensitive, introspective character in Virginia Woolf’s novel "The Waves," often associated with themes of isolation and existential anxiety.
-
C.
Rhoda Drew
Rhoda Drew was the wife of prominent Irish architect Sir Thomas Drew, associated with his social and domestic life in late 19th- and early 20th-century Ireland.
-
D.
Rhoda Williams
Rhoda Williams was an American actress and voice artist best known for her work in mid-20th-century film and radio, including voice roles in classic animated features.
-
E.
Rhoda Makoff
Rhoda Makoff is an educator best known for founding Crossroads School, an independent progressive school in Santa Monica, California.
- 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_69f61e6d72d081908c8697257df712f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.