Triple
T20338813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Done Him Wrong |
E495685
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rochelle Hudson |
—
|
NE NERFINISHED |
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: Rochelle Hudson | Statement: [She Done Him Wrong, starring, Rochelle Hudson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochelle Hudson Context triple: [She Done Him Wrong, starring, Rochelle Hudson]
-
A.
Rochelle Hudson
chosen
Rochelle Hudson was an American film actress of the 1930s–1950s, known for her versatile supporting roles in Hollywood dramas and crime films.
-
B.
Rochelle Parker
Rochelle Parker is the former wife of American actor and race car driver Patrick Dempsey.
-
C.
Ruby Holbrook
Ruby Holbrook was the wife of acclaimed American actor Hal Holbrook.
-
D.
Rochelle Humes
Rochelle Humes is a British singer, television presenter, and entrepreneur best known as a member of the girl group The Saturdays and for hosting various UK TV shows.
-
E.
Esther Dale
Esther Dale was an American character actress known for her numerous supporting roles in Hollywood films and early television from the 1930s through the 1950s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678332bd08190a83880fb6aa32e08 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:23 a.m.