Triple

T19974408
Position Surface form Disambiguated ID Type / Status
Subject The Iceman E493650 entity
Predicate director P255 FINISHED
Object Ariel Vromen 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: Ariel Vromen | Statement: [The Iceman, director, Ariel Vromen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ariel Vromen
Context triple: [The Iceman, director, Ariel Vromen]
  • A. Ariel Vromen chosen
    Ariel Vromen is an Israeli film director, screenwriter, and producer best known for directing crime and thriller films such as "The Iceman" and "Criminal."
  • B. Ariel Truax
    Ariel Truax is a central love interest and spirited newcomer in the comedy film "Grumpy Old Men," whose arrival stirs up rivalry and romance between the two elderly protagonists.
  • C. Ariel Nicoli
    Ariel Nicoli is one of the children of South African supermodel Candice Swanepoel.
  • D. Charlotte Kaletta
    Charlotte Kaletta was the long-time partner of Fritz Pfeffer, the German-Jewish dentist who hid with Anne Frank and others in the Secret Annex during World War II.
  • E. Ariel Moore
    Ariel Moore is the rebellious and spirited teenage daughter of a strict minister in the musical film "Footloose," whose desire for freedom and dancing drives much of the story’s conflict.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65bcb72048190aedb4f085ace0493 completed April 20, 2026, 5 p.m.
Created at: April 11, 2026, 3:23 p.m.