Triple
T10677904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Guy |
E251665
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Dean Zimmerman |
E527086
|
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: Dean Zimmerman | Statement: [Free Guy, editedBy, Dean Zimmerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Zimmerman Context triple: [Free Guy, editedBy, Dean Zimmerman]
-
A.
Dean Zimmerman
chosen
Dean Zimmerman is an American film editor known for his work on major Hollywood action and science-fiction films.
-
B.
Don Zimmerman
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
C.
Gil Zimmerman
Gil Zimmerman is a cinematographer best known for his work on the animated feature film "Monsters vs. Aliens."
-
D.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
E.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb9563908190a69cf4bd2c24fd2f |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46262a8f88190869c2161c3b10a19 |
completed | April 19, 2026, 5:04 a.m. |
Created at: April 8, 2026, 9:10 p.m.