Triple
T695057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Light |
E13876
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Nabil Elderkin |
E19210
|
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: Nabil Elderkin | Statement: [The Light, musicVideoDirector, Nabil Elderkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabil Elderkin Context triple: [The Light, musicVideoDirector, Nabil Elderkin]
-
A.
Nabil Elderkin
chosen
Nabil Elderkin is an acclaimed photographer and music video director known for his visually striking work with artists such as Kanye West, Frank Ocean, and John Legend.
-
B.
Ramin Mazaheri
Ramin Mazaheri is an Iranian journalist and political analyst known for his reporting and commentary on international affairs and socio-political issues.
-
C.
Yohanan Bader
Yohanan Bader was a prominent Revisionist Zionist leader and Israeli politician associated with the Herut and Gahal parties.
-
D.
Ramin Toloui
Ramin Toloui is an American economist and former global co-head of emerging markets at PIMCO who has served in senior international economic policy roles in the U.S. government.
-
E.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c3f39c8190a3014df428817492 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654dace34819094c74f7c6ff4716c |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:36 p.m.