Triple
T2350472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memento |
E47435
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Suzanne Todd
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
|
E461084
|
NE FINISHED |
How this triple was built (4 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: Suzanne Todd | Statement: [Memento, producer, Suzanne Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Todd Context triple: [Memento, producer, Suzanne Todd]
-
A.
Suzanne Johnson
Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
-
B.
Suzanne Kilpatrick
Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
-
C.
Suzanne Perrin
Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
-
D.
Suzanne Zimmer
Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
-
E.
Sue Brown
Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Suzanne Todd Triple: [Memento, producer, Suzanne Todd]
Generated description
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzanne Todd Target entity description: Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
-
A.
Suzanne Johnson
Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
-
B.
Suzanne Kilpatrick
Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
-
C.
Suzanne Perrin
Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
-
D.
Suzanne Zimmer
Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
-
E.
Sue Brown
Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
- F. None of above. chosen
Provenance (5 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_69be0304964c81908893f85073cb626e |
completed | March 21, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_69be05941ca08190b073c078dfb25429 |
completed | March 21, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05fb27788190bdbaba05fc0798e7 |
completed | March 21, 2026, 2:44 a.m. |
Created at: March 4, 2026, 7:54 p.m.