Triple
T13283772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baywatch (2017 film) |
E316387
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Berk |
E571148
|
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: Michael Berk | Statement: [Baywatch (2017 film), producer, Michael Berk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Berk Context triple: [Baywatch (2017 film), producer, Michael Berk]
-
A.
Michael Berk
chosen
Michael Berk is an American television and film writer best known as a co-creator and producer of the hit series "Baywatch" and for his work on inspirational sports dramas like "Soul Surfer."
-
B.
Ian Biederman
Ian Biederman is an American television writer and producer best known for creating and working on various network drama series.
-
C.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
D.
Michael Brun
Michael Brun is a Haitian DJ, record producer, and musician known for blending electronic dance music with Caribbean and Afro-Caribbean influences.
-
E.
Michael Wilford
Michael Wilford was a British architect known for his postmodern designs and for continuing the work of James Stirling on prominent cultural and public buildings.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99047531c819087aa6406de1ddc82 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a5a98488190804a97a052741377 |
completed | May 3, 2026, 8:42 a.m. |
Created at: April 9, 2026, 9:27 p.m.