Triple
T7950507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toys |
E184601
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Stu Linder |
E526036
|
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: Stu Linder | Statement: [Toys, editedBy, Stu Linder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stu Linder Context triple: [Toys, editedBy, Stu Linder]
-
A.
Stu Linder
chosen
Stu Linder was an American film editor best known for his long collaboration with director Barry Levinson and his Academy Award-winning work on "Grand Prix."
-
B.
Duane Schuler
Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
-
C.
Larry Steers
Larry Steers was a prolific American character actor of the silent and early sound film era, appearing in hundreds of movies in mostly uncredited or supporting roles.
-
D.
Tom Luddy
Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
-
E.
Bill Wittliff
Bill Wittliff was an American screenwriter, author, and photographer best known for adapting and writing acclaimed Western-themed films and television miniseries.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5b7450819091e4e6f21e9d832d |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63af95fc81908608dcb0eb7e9893 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:10 p.m.