Triple
T17510926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Loves Me Not |
E426444
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | David Meyers |
—
|
NE NERFINISHED |
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: David Meyers | Statement: [She Loves Me Not, musicVideoDirector, David Meyers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Meyers Context triple: [She Loves Me Not, musicVideoDirector, David 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.
Nick Meyers
Nick Meyers is a film editor known for his work on the Australian drama "Little Fish" and other feature films.
-
C.
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.
-
D.
Larry Meyers
Larry Meyers is the father of comedian and television host Seth Meyers.
-
E.
Mike Kellerman
Mike Kellerman is a fictional Baltimore homicide detective known for his morally complex investigations and personal struggles on the television series "Homicide: Life on the Street."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525b03c48190ada74a7da0f4739c |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.