Triple
T7909785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boiler Room |
E183667
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Suzanne Todd |
E461084
|
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: Suzanne Todd | Statement: [Boiler Room, producer, Suzanne Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Todd Context triple: [Boiler Room, producer, Suzanne Todd]
-
A.
Suzanne Todd
chosen
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
-
B.
Suzanne Johnson
Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
-
C.
Beverly Todd
Beverly Todd is an American actress known for her work in film, television, and theater, including a notable role in the comedy-drama "The Bucket List."
-
D.
Suzanne Kilpatrick
Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
-
E.
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.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5db9508190bbe92673ef5a7861 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4d4b34c481908cc32513063e5f02 |
completed | April 2, 2026, 11:04 a.m. |
Created at: March 30, 2026, 5:04 p.m.