Triple
T2350473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memento |
E47435
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jennifer Todd |
E131805
|
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: Jennifer Todd | Statement: [Memento, producer, Jennifer Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Todd Context triple: [Memento, producer, Jennifer Todd]
-
A.
Jennifer Todd
chosen
Jennifer Todd is an American film and television producer known for her work on projects such as the crime drama series "City on a Hill" and films like "Memento" and the "Austin Powers" franchise.
-
B.
Jennifer Grant
Jennifer Grant is an American actress and the daughter of classic Hollywood film star Cary Grant.
-
C.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
D.
Andrea Troyer
Andrea Troyer is an American writer and editor known for her work in publishing and for being married to television producer and writer D. B. Weiss.
-
E.
Jennifer Wade
Jennifer Wade is a British jewelry designer and former model best known as the fourth wife of comedian and actor John Cleese.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6cfffc88190b49433f52581420e |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae962f769881909a7713880eaa9b84 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:54 p.m.