Triple

T9937285
Position Surface form Disambiguated ID Type / Status
Subject Eternals (film) E193988 entity
Predicate setting P1957 FINISHED
Object Babylon E23692 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: Babylon | Statement: [Eternals (film), setting, Babylon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babylon
Context triple: [Eternals (film), setting, Babylon]
  • A. Babylon
    Babylon is a town on the South Shore of Long Island in New York, known for its suburban communities, waterfront access, and role as a transportation hub.
  • B. Babylon
    "Babylon" is a 2022 epic period comedy-drama film written and directed by Damien Chazelle that explores the excesses and upheavals of Hollywood’s transition from silent films to sound in the late 1920s.
  • C. Babylon chosen
    Babylon was an ancient Mesopotamian city-state and imperial capital renowned for its monumental architecture, advanced culture, and central role in Near Eastern history and biblical tradition.
  • D. Ashur
    Ashur is an ancient Mesopotamian city in northern Iraq that served as the first capital and religious center of the Assyrian Empire.
  • E. Ebla
    Ebla was an important ancient city-state and archaeological site in modern-day northern Syria, known for its extensive cuneiform tablet archives that shed light on early Semitic languages and Bronze Age politics.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228f259b081909ce8a90ec1adad0d completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:44 p.m.