Triple
T20388790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Other Woman |
E498029
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Julie Yorn |
—
|
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: Julie Yorn | Statement: [The Other Woman, producer, Julie Yorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Yorn Context triple: [The Other Woman, producer, Julie Yorn]
-
A.
Julie Yorn
chosen
Julie Yorn is an American film producer known for her work on a range of Hollywood movies, including comedies and thrillers.
-
B.
Julie Martin
Julie Martin is a television producer best known for her work as an executive producer on series such as *The Bedford Diaries*.
-
C.
Jocelyn Ritchie
Jocelyn Ritchie is a musician best known for her collaborative work with American rock-rap artist Kid Rock.
-
D.
Jocelyn Lane
Jocelyn Lane is a British-born actress and model best known for her film roles in the 1950s and 1960s, including appearances in adventure and comedy movies.
-
E.
Jeannie Holland
Jeannie Holland is known as the wife of actor Tom Holland.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.