Triple

T155021
Position Surface form Disambiguated ID Type / Status
Subject Sigurd Lie E3160 entity
Predicate familyName P18 FINISHED
Object Lie E3160 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: Lie | Statement: [Sigurd Lie, familyName, Lie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lie
Context triple: [Sigurd Lie, familyName, Lie]
  • A. Lie chosen
    Lie is a Norwegian surname most notably borne by Trygve Lie, the first Secretary-General of the United Nations.
  • B. liar paradox
    The liar paradox is a classic self-referential logical puzzle arising from sentences that declare their own falsehood, leading to a contradiction about whether they are true or false.
  • C. Per Lie
    Per Lie is a notable individual who shares the Norwegian surname Lie, associated with several prominent figures in Norway’s cultural and public life.
  • D. Statue of Three Lies
    The Statue of Three Lies is the famous bronze monument in Harvard Yard whose inscription contains three historical inaccuracies, making it a well-known campus curiosity and tourist attraction.
  • E. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2582eb6408190beb38213c7d7d968 completed Feb. 28, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d4c9ede481909a775c64222b86d3 completed Feb. 28, 2026, 11:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.