Triple
T11166343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiss Me More |
E264168
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Warren Fu |
E835883
|
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: Warren Fu | Statement: [Kiss Me More, musicVideoDirector, Warren Fu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Fu Context triple: [Kiss Me More, musicVideoDirector, Warren Fu]
-
A.
Warren Fu
chosen
Warren Fu is a prominent music video director and visual artist known for his stylish, cinematic work with major pop and alternative artists.
-
B.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
-
C.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
D.
Jim Cheung
Jim Cheung is a British comic book artist best known for his detailed, dynamic work on major Marvel titles such as Young Avengers and various large-scale crossover events.
-
E.
Daren Tang
Daren Tang is a Singaporean lawyer and intellectual property expert who serves as the Director General of the World Intellectual Property Organization (WIPO).
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463945e40819087c6bdbc322a6d54 |
completed | April 19, 2026, 5:09 a.m. |
Created at: April 8, 2026, 9:29 p.m.