Triple
T20148752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Let Me Fall |
E491377
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | J.R. Rotem |
—
|
NE NERFINISHED |
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: [Don't Let Me Fall, producer, J.R. Rotem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J.R. Rotem Context triple: [Don't Let Me Fall, 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.
Ronen Rubinstein
Ronen Rubinstein is an Israeli-American actor best known for starring as firefighter T.K. Strand on the television drama series "9-1-1: Lone Star."
-
C.
Amir Chetrit
Amir Chetrit is an early cryptocurrency entrepreneur best known as one of the original co-founders of Ethereum alongside Gavin Wood and others.
-
D.
Amiel Ben-Horin
Amiel Ben-Horin is a central character in the Israeli television drama "Prisoners of War" (Hatufim), which inspired the American series "Homeland."
-
E.
Giora Rotman
Giora Rotman is an Israeli architect best known for designing prominent modern high-rise buildings, including some of the country's tallest towers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0075c8190a5c4de53a0caa7f6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.