Triple
T7417429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roar |
E171164
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Mark Kudsi |
E210371
|
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: Mark Kudsi | Statement: [Roar, musicVideoDirector, Mark Kudsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Kudsi Context triple: [Roar, musicVideoDirector, Mark Kudsi]
-
A.
Mark Kudsi
chosen
Mark Kudsi is a music video director known for creating visually innovative, high-concept videos for major pop and hip-hop artists.
-
B.
Sam Ghods
Sam Ghods is a technology entrepreneur best known as a co-founder of the cloud content management company Box.
-
C.
Navid Kermani
Navid Kermani is a German writer, orientalist, and public intellectual known for his essays and novels exploring Islam, European culture, and intercultural dialogue.
-
D.
Ramin Ganeshram
Ramin Ganeshram is an American journalist, food writer, and author known for her work on culinary history and cultural heritage.
-
E.
Ramin Mazaheri
Ramin Mazaheri is an Iranian journalist and political analyst known for his reporting and commentary on international affairs and socio-political issues.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c9314c8190855b79a2e6ef3e9b |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81eed92888190bf9d11ab91378fa9 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.