Triple
T14488303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who's Laughing Now |
E359293
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Emil Nava |
E707774
|
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: Emil Nava | Statement: [Who's Laughing Now, musicVideoDirector, Emil Nava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emil Nava Context triple: [Who's Laughing Now, musicVideoDirector, Emil Nava]
-
A.
Emil Nava
chosen
Emil Nava is a British music video director known for creating visually striking videos for major pop and hip-hop artists.
-
B.
Charles Juravinski
Charles Juravinski was a Canadian businessman and philanthropist best known for his major charitable contributions to healthcare and community institutions in Hamilton, Ontario.
-
C.
Oscar Neebe
Oscar Neebe was an American labor activist and anarchist who was controversially convicted in connection with the 1886 Haymarket affair in Chicago.
-
D.
Gustav Kahn
Gustav Kahn was a French Symbolist poet and critic known for helping to pioneer and theorize vers libre (free verse) in late 19th-century literature.
-
E.
Martin Jurow
Martin Jurow was an American film producer best known for his work on classic mid-20th-century Hollywood movies, including the iconic Audrey Hepburn film "Breakfast at Tiffany's."
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a7187c81909f173c2fb70509f5 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:20 a.m.