Triple

T1146350
Position Surface form Disambiguated ID Type / Status
Subject Morten Lie E23574 entity
Predicate hasSurname P18 FINISHED
Object Lie
Lie is a common Norwegian surname borne by numerous notable figures in fields such as politics, mathematics, and the arts.
E3160 NE FINISHED

How this triple was built (4 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: [Morten Lie, hasSurname, Lie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lie
Context triple: [Morten Lie, hasSurname, Lie]
  • A. LIE
    LIE is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Liechtenstein.
  • B. One of My Lies
    "One of My Lies" is a song by the American punk rock band Green Day from their early studio album "Kerplunk."
  • C. Vérité
    Vérité is a socially engaged novel by Émile Zola that denounces anti-Semitism and religious intolerance in France, inspired by the Dreyfus Affair.
  • D. Liar Liar
    Liar Liar is a 1997 comedy film starring Jim Carrey as a fast-talking lawyer magically compelled to tell the truth for 24 hours, leading to a series of chaotic and humorous consequences.
  • E. A Liar’s Autobiography
    A Liar’s Autobiography is a surreal, comedic memoir by Monty Python member Graham Chapman that blends fact and fiction to chronicle his life and career.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lie
Triple: [Morten Lie, hasSurname, Lie]
Generated description
Lie is a common Norwegian surname borne by numerous notable figures in fields such as politics, mathematics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lie
Target entity description: Lie is a common Norwegian surname borne by numerous notable figures in fields such as politics, mathematics, and the arts.
  • A. Lie chosen
    Lie is a Norwegian surname most notably borne by Trygve Lie, the first Secretary-General of the United Nations.
  • B. LIE
    LIE is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Liechtenstein.
  • C. One of My Lies
    "One of My Lies" is a song by the American punk rock band Green Day from their early studio album "Kerplunk."
  • D. Vérité
    Vérité is a socially engaged novel by Émile Zola that denounces anti-Semitism and religious intolerance in France, inspired by the Dreyfus Affair.
  • E. Liar Liar
    Liar Liar is a 1997 comedy film starring Jim Carrey as a fast-talking lawyer magically compelled to tell the truth for 24 hours, leading to a series of chaotic and humorous consequences.
  • F. None of above.

Provenance (5 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc6e8c2081909fb3534413b7aacb completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6677c7e48190ba8da088b78775a5 completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac677c06348190ae4454297654aa13 completed March 7, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac67ca10908190b501d0cf8f21a97e completed March 7, 2026, 6 p.m.
Created at: March 1, 2026, 7:44 p.m.