Triple

T15408516
Position Surface form Disambiguated ID Type / Status
Subject Trilla E368524 entity
Predicate producer P490 FINISHED
Object Jonathan Rotem E1114750 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: Jonathan Rotem | Statement: [Trilla, producer, Jonathan Rotem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Rotem
Context triple: [Trilla, producer, Jonathan Rotem]
  • A. Jonathan Reuven Rotem chosen
    Jonathan Reuven Rotem is an Israeli-American record producer and songwriter known for crafting pop and hip-hop hits for artists such as Rihanna, Jason Derulo, and Sean Kingston.
  • B. Yair Tzaban
    Yair Tzaban is an Israeli politician and social activist known for his leadership in the left-wing Mapam party and his advocacy for peace, civil rights, and social justice.
  • C. 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."
  • D. Osnat Shurer
    Osnat Shurer is an Israeli-American film producer best known for her work on major Walt Disney Animation Studios features such as "Moana" and "Raya and the Last Dragon."
  • E. Harel Weinstein
    Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa92e5f5c81908f54e91b7f16607e completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 3:20 a.m.