Triple
T7961669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VII (2014-11-04) |
E184879
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | J.R. Rotem |
E344626
|
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: J.R. Rotem | Statement: [VII (2014-11-04), producer, J.R. Rotem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J.R. Rotem Context triple: [VII (2014-11-04), producer, J.R. Rotem]
-
A.
J.R. Rotem
chosen
J.R. Rotem is a South African-born American record producer and songwriter known for crafting pop and hip-hop hits for artists such as Rihanna, Jason Derulo, and Sean Kingston.
-
B.
Nir Bergman
Nir Bergman is an Israeli film and television director and screenwriter known for his influential work in character-driven dramas.
-
C.
Paul Ben-Haim
Paul Ben-Haim was a prominent German-born Israeli composer and conductor, known as a pioneer of Israeli art music who blended Western classical traditions with Middle Eastern and Jewish musical elements.
-
D.
Lior Raz
Lior Raz is an Israeli actor and screenwriter best known as the co-creator and star of the hit television series "Fauda."
-
E.
Tom Erez
Tom Erez is a researcher in machine learning and control, known for his work on deep reinforcement learning algorithms such as Deep Deterministic Policy Gradient (DDPG).
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc566604e881908792c7155a370e4c |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:12 p.m.