Triple
T4521507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SexyBack |
E103279
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Michael Haussman |
E414296
|
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 Haussman | Statement: [SexyBack, musicVideoDirector, Michael Haussman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Haussman Context triple: [SexyBack, musicVideoDirector, Michael Haussman]
-
A.
Michael Haussman
chosen
Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
-
B.
Michael Hausman
Michael Hausman is an American film producer and production manager known for his work on acclaimed films such as "Silkwood," "Amadeus," and "Gangs of New York."
-
C.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
D.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
-
E.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574bd6908190b939d92b5809b101 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf32f31ecc81909cb29b762481b08e |
completed | March 22, 2026, 12:08 a.m. |
Created at: March 20, 2026, 1:02 p.m.