Triple
T13283806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baywatch (2017 film) |
E316387
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Rob Huebel |
E237365
|
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: Rob Huebel | Statement: [Baywatch (2017 film), castMember, Rob Huebel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Huebel Context triple: [Baywatch (2017 film), castMember, Rob Huebel]
-
A.
Rob Huebel
chosen
Rob Huebel is an American comedian and actor known for his work on the MTV sketch series "Human Giant" and numerous comedic film and television roles.
-
B.
Jason Halbert
Jason Halbert is a music producer and keyboardist best known for his long-time work with Kelly Clarkson as both a producer and musical director.
-
C.
Jon Schneck
Jon Schneck is an American guitarist and multi-instrumentalist best known for his work with the Christian rock band Relient K.
-
D.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
E.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
- 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.