Triple

T10531908
Position Surface form Disambiguated ID Type / Status
Subject Lolita E248462 entity
Predicate familyName P18 FINISHED
Object Haze
Haze is the surname of Dolores "Lolita" Haze, the fictional adolescent protagonist of Vladimir Nabokov’s novel "Lolita."
 E869748 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: Haze | Statement: [Lolita, familyName, Haze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haze
Context triple: [Lolita, familyName, Haze]
  • A. Niebla
    Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
  • B. Smog
    Smog is the lo-fi indie rock project of American singer-songwriter Bill Callahan, known for its sparse arrangements and introspective, deadpan lyricism.
  • C. Havoc
    Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
  • D. Havoc
    Havoc is a 2005 crime drama film about affluent suburban teenagers who become entangled in Los Angeles gang culture.
  • E. Regen
    Regen is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic river setting and surrounding natural landscapes.
  • 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: Haze
Triple: [Lolita, familyName, Haze]
Generated description
Haze is the surname of Dolores "Lolita" Haze, the fictional adolescent protagonist of Vladimir Nabokov’s novel "Lolita."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haze
Target entity description: Haze is the surname of Dolores "Lolita" Haze, the fictional adolescent protagonist of Vladimir Nabokov’s novel "Lolita."
  • A. Niebla
    Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
  • B. Smog
    Smog is the lo-fi indie rock project of American singer-songwriter Bill Callahan, known for its sparse arrangements and introspective, deadpan lyricism.
  • C. Havoc
    Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
  • D. Havoc
    Havoc is a 2005 crime drama film about affluent suburban teenagers who become entangled in Los Angeles gang culture.
  • E. Regen
    Regen is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic river setting and surrounding natural landscapes.
  • F. None of above. chosen

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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a17f23081909f3372e160e21670 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e471e9c8190b134249073b289bd completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d9107f488481908845aef0fdf6d60d completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911790010819093fc50952502fd59 completed April 10, 2026, 3:04 p.m.
Created at: April 6, 2026, 12:30 p.m.