Triple
T12698831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Right Stuff |
E303403
|
entity |
| Predicate | editingBy |
P1954
|
FINISHED |
| Object | Tom Rolf |
E214378
|
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: Tom Rolf | Statement: [The Right Stuff, editingBy, Tom Rolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Rolf Context triple: [The Right Stuff, editingBy, Tom Rolf]
-
A.
Tom Rolf
chosen
Tom Rolf was an American film editor best known for his work on acclaimed movies such as "Taxi Driver" and for winning an Academy Award for editing "The Right Stuff."
-
B.
Ben Rolf
Ben Rolf is a character in the horror novel and film "Burnt Offerings," known as the young son in the family that moves into a sinister, transformative mansion.
-
C.
David Rolf
David Rolf is a fictional character from the horror novel and film "Burnt Offerings," involved in the story’s unsettling, supernatural events surrounding a sinister summer rental house.
-
D.
Ron Hagen
Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
-
E.
Duane Schuler
Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ed26588190ae76ff17159e06ec |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b066348190aedfe186fc4724f9 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:22 p.m.