Triple

T1245534
Position Surface form Disambiguated ID Type / Status
Subject Tor Lie E26755 entity
Predicate nameInNativeLanguage P1435 FINISHED
Object Tor Lie E26755 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: Tor Lie | Statement: [Tor Lie, nameInNativeLanguage, Tor Lie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tor Lie
Context triple: [Tor Lie, nameInNativeLanguage, Tor Lie]
  • A. Tor Lie chosen
    Tor Lie is a notable individual who shares the Norwegian surname "Lie," recognized among its distinguished bearers.
  • B. Sjur Lie
    Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
  • C. Reidar Lie
    Reidar Lie is a Norwegian philosopher and bioethicist known for his work on research ethics, global health, and the ethical dimensions of public health policy.
  • D. Morten Lie
    Morten Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
  • E. Kjell Lie
    Kjell Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7da5c48190b013f1578c160d78 completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.