Triple
T3239671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Dolittle (1998 film) |
E67936
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Peter Teschner |
E112887
|
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: Peter Teschner | Statement: [Dr. Dolittle (1998 film), editedBy, Peter Teschner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Teschner Context triple: [Dr. Dolittle (1998 film), editedBy, Peter Teschner]
-
A.
Peter Teschner
chosen
Peter Teschner is a film editor known for his work on major Hollywood comedies, including the hit movie "Horrible Bosses."
-
B.
Peter Zinner
Peter Zinner was an Austrian-born American film editor renowned for his work on major Hollywood films, including classics like The Deer Hunter and The Godfather.
-
C.
Tobias Kohn
Tobias Kohn is a computer scientist and software developer known for his contributions to the Python language, including co-authoring PEP 622 on pattern matching.
-
D.
Peter Viertel
Peter Viertel was a German-born American novelist and screenwriter known for works like "White Hunter Black Heart" and for his contributions to mid-20th-century Hollywood cinema.
-
E.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef4c0bc819095e4f84296fe7cb6 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3341597448190805ff43effb9070c |
completed | March 12, 2026, 9:45 p.m. |
Created at: March 8, 2026, 3:08 p.m.