Triple
T22410173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poison |
E553974
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Joseph Kahn |
—
|
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: Joseph Kahn | Statement: [Poison, musicVideoDirector, Joseph Kahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Kahn Context triple: [Poison, musicVideoDirector, Joseph Kahn]
-
A.
Joseph Kahn
chosen
Joseph Kahn is a prominent American music video and film director known for his visually dynamic, high-concept work with major pop and hip-hop artists.
-
B.
Joseph Kahn
Joseph Kahn is an American journalist who serves as the executive editor of The New York Times and is known for his leadership in global and investigative reporting.
-
C.
Ken Turkin
Ken Turkin is a musician best known as a member of the American garage rock band The Shadows of Knight.
-
D.
Jon Turteltaub
Jon Turteltaub is an American film director and producer known for helming popular mainstream movies such as the National Treasure series, Cool Runnings, and While You Were Sleeping.
-
E.
Lawrence Dobkin
Lawrence Dobkin was an American character actor, director, and narrator known for his prolific work in film, television, and radio from the 1940s through the 1980s.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158bb9ef88190a773d82ac9ed7a55 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.