Triple
T10527556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Women Have Curves |
E248345
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | George LaVoo |
E939754
|
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: George LaVoo | Statement: [Real Women Have Curves, screenwriter, George LaVoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George LaVoo Context triple: [Real Women Have Curves, screenwriter, George LaVoo]
-
A.
George LaVoo
chosen
George LaVoo is an American filmmaker and screenwriter best known for his work on independent films, including the acclaimed coming-of-age drama "Real Women Have Curves."
-
B.
Bill Wittliff
Bill Wittliff was an American screenwriter, author, and photographer best known for adapting and writing acclaimed Western-themed films and television miniseries.
-
C.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
D.
Buck Houghton
Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
-
E.
Charles Horvath
Charles Horvath was an American actor and stuntman known for his rugged roles in Westerns and action films.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43ee693048190a8c7ecdf8724d3ec |
completed | May 1, 2026, 5:49 a.m. |
Created at: April 6, 2026, 12:29 p.m.