Triple
T1943114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witness for the Prosecution |
E41998
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Daniel Mandell |
E295857
|
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: Daniel Mandell | Statement: [Witness for the Prosecution, editedBy, Daniel Mandell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Mandell Context triple: [Witness for the Prosecution, editedBy, Daniel Mandell]
-
A.
Daniel Mandell
chosen
Daniel Mandell was an American film editor renowned for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Film Editing.
-
B.
Dan Mindel
Dan Mindel is a British cinematographer known for his work on major blockbuster films, including entries in the Star Trek and Star Wars franchises.
-
C.
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.
-
D.
Ben D. Waisbren
Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
-
E.
Daniel Scharf
Daniel Scharf is a film producer best known for his work on the influential 1992 Australian drama "Romper Stomper."
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb2fe04688190aa8461ba090c93a0 |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc25d9348190a216c53d1c7f8820 |
completed | March 11, 2026, 5:22 a.m. |
Created at: March 4, 2026, 7:36 p.m.