Triple

T23251876
Position Surface form Disambiguated ID Type / Status
Subject Used to Love You E581751 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: [Used to Love You, producer, J. R. Rotem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. R. Rotem
Context triple: [Used to Love You, 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. 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.
  • C. Amir Shinar
    Amir Shinar is an Israeli entrepreneur and software engineer best known as one of the co-founders of the GPS navigation and traffic app Waze.
  • D. Oren Soffer
    Oren Soffer is a cinematographer known for his work on the science fiction film "The Creator," where he collaborated with director Gareth Edwards to craft its distinctive visual style.
  • E. Oren Aviv
    Oren Aviv is an American film executive and producer known for his work on major Hollywood projects, including contributing to the story for the action-adventure film "National Treasure."
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f7249481909424867e9542d35e completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.