Triple

T3842560
Position Surface form Disambiguated ID Type / Status
Subject İlhan Berk E93485 entity
Predicate notableWork P4 FINISHED
Object Atlas E228363 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: Atlas | Statement: [İlhan Berk, notableWork, Atlas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas
Context triple: [İlhan Berk, notableWork, Atlas]
  • A. Atlas
    Atlas is a Titan from Greek mythology best known for bearing the weight of the heavens on his shoulders as punishment from the gods.
  • B. Atlas
    Atlas is a family of American expendable launch vehicles originally developed from a ballistic missile program and widely used to place satellites and spacecraft into orbit.
  • C. Atlas
    Atlas is a professional Mexican football club based in Guadalajara, Jalisco, known for its historic presence in Liga MX.
  • D. Atlas
    Atlas is a highly advanced humanoid robot developed by Boston Dynamics for DARPA, designed for complex, human-like mobility and manipulation in disaster-response and research environments.
  • E. Atlas chosen
    Atlas is a monumental ongoing project by German artist Gerhard Richter, consisting of thousands of photographs, sketches, and collages that document and inform his artistic practice.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040d478081909a903bbf02f0d0ec completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.