Triple
T11170012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | They All Laughed |
E264249
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Robbie Müller |
E614161
|
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: Robbie Müller | Statement: [They All Laughed, cinematographer, Robbie Müller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robbie Müller Context triple: [They All Laughed, cinematographer, Robbie Müller]
-
A.
Robbie Müller
chosen
Robbie Müller was a renowned Dutch cinematographer celebrated for his innovative, naturalistic visual style in influential art-house and independent films.
-
B.
Markus Majowski
Markus Majowski is a German actor and comedian known for his roles in film, television, and theater.
-
C.
Michael Seitzman
Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
-
D.
Michael Piccinini
Michael Piccinini is an American businessman best known as the founder of the Save Mart Supermarkets grocery chain.
-
E.
Sebastian Baden
Sebastian Baden is a German art historian and curator who serves as director of the Schirn Kunsthalle in Frankfurt, one of Europe’s leading contemporary art institutions.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483816af08190877f86ee52846581 |
completed | April 19, 2026, 7:25 a.m. |
Created at: April 8, 2026, 9:29 p.m.