Triple

T9217527
Position Surface form Disambiguated ID Type / Status
Subject Damien Chazelle E221277 entity
Predicate directed P7373 FINISHED
Object Babylon E338936 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: [Damien Chazelle, directed, Babylon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babylon
Context triple: [Damien Chazelle, directed, 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 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.
  • C. Babylon chosen
    "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.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0ae3d081908ff3f5dab52df5ae completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779651588190a00179dec66bc228 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:27 p.m.