Triple
T3785097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Opposite of Sex |
E85511
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ralph Winter |
E377151
|
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: Ralph Winter | Statement: [The Opposite of Sex, producer, Ralph Winter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Winter Context triple: [The Opposite of Sex, producer, Ralph Winter]
-
A.
Ralph Winter
chosen
Ralph Winter is an American film producer best known for his work on major genre franchises such as the X-Men series and the Star Trek films.
-
B.
Ralph Arnold
Ralph Arnold is the name of several notable individuals, including figures in fields such as geology, engineering, and the arts.
-
C.
Ralph Hart
Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
-
D.
Ralph Miller
Ralph Miller was a highly respected American college basketball coach best known for transforming Oregon State University into a national contender during his long tenure.
-
E.
Jerry Wald
Jerry Wald was an American film producer and screenwriter known for his influential work in Hollywood during the 1930s–1950s, including several acclaimed dramas and film noirs.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dd80f08190a1704521a764e22c |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5282f253c81908c18a30bb1025f99 |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 9, 2026, 3:13 p.m.