Triple
T7207083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicko Mode |
E148692
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Dave Meyers |
E335205
|
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: Dave Meyers | Statement: [Sicko Mode, musicVideoDirector, Dave Meyers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Meyers Context triple: [Sicko Mode, musicVideoDirector, Dave Meyers]
-
A.
Dave Meyers
chosen
Dave Meyers is an acclaimed American music video director known for his visually inventive, high-profile collaborations with major pop and hip-hop artists.
-
B.
Kevin Myers
Kevin Myers is a central character in the American Pie film series, known as one of the core group of friends navigating relationships and adulthood.
-
C.
Seth Meyer
Seth Meyer is the son of "Twilight" author Stephenie Meyer.
-
D.
Eric Overmyer
Eric Overmyer is an American television writer and producer known for his work on acclaimed series such as The Wire, Treme, and Bosch.
-
E.
Matthew Weisman
Matthew Weisman is a screenwriter best known for co-writing the 1985 action film "Commando" starring Arnold Schwarzenegger.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e969c5fc819096bc03bfba12d0cf |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfc0ac008190b3ea46b4e5f13287 |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:52 p.m.