Triple
T22395882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 65 (2023 film) |
E553627
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Josh Schaeffer |
—
|
NE NERFINISHED |
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: Josh Schaeffer | Statement: [65 (2023 film), editedBy, Josh Schaeffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Schaeffer Context triple: [65 (2023 film), editedBy, Josh Schaeffer]
-
A.
Josh Schaeffer
chosen
Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Jake Schreier
Jake Schreier is an American film and music video director known for movies such as "Paper Towns" and "Robot & Frank."
-
C.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
D.
Kyle Scheible
Kyle Scheible is the aloof, rebellious musician and love interest in the coming-of-age film "Lady Bird."
-
E.
Matt Schmalfeld
Matt Schmalfeld is a member of the band Audacity, contributing to its energetic garage rock sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585e84b081908c95ed3e0d987ed8 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.