Triple
T1628145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercy |
E35191
|
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: [Mercy, musicVideoDirector, Nabil Elderkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabil Elderkin Context triple: [Mercy, 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.
Amer Wagdi
Amer Wagdi is a central character in Naguib Mahfouz’s novel "Miramar," representing the older generation’s memories and perspectives amid Egypt’s social and political change.
-
D.
Tarek Sharif
Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
-
E.
Yohanan Bader
Yohanan Bader was a prominent Revisionist Zionist leader and Israeli politician associated with the Herut and Gahal parties.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622ca9bc8190b99e90295cb01646 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d3808c819086a4a66e66905e8a |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.