Triple

T834972
Position Surface form Disambiguated ID Type / Status
Subject Love (novel) E18049 entity
Predicate centralCharacter P9202 FINISHED
Object L
L is the enigmatic, emotionally complex protagonist of Hanne Ørstavik’s novel "Love," whose inner life and perspective drive the story’s exploration of isolation and longing.
E97637 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: L | Statement: [Love (novel), centralCharacter, L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L
Context triple: [Love (novel), centralCharacter, L]
  • A. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • B. LV
    LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
  • C. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • D. LI
    LI is the Roman numeral representing the number 51.
  • E. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • 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: L
Triple: [Love (novel), centralCharacter, L]
Generated description
L is the enigmatic, emotionally complex protagonist of Hanne Ørstavik’s novel "Love," whose inner life and perspective drive the story’s exploration of isolation and longing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: L
Target entity description: L is the enigmatic, emotionally complex protagonist of Hanne Ørstavik’s novel "Love," whose inner life and perspective drive the story’s exploration of isolation and longing.
  • A. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • B. LV
    LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
  • C. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • D. LI
    LI is the Roman numeral representing the number 51.
  • E. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2b66c908190a52f731119b77a1e completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9b57fc8190981ed4eeb2ac5548 completed March 3, 2026, 11:24 p.m.
NEDg Description generation batch_69a782fae3f48190b27e5f0aefa1dd70 completed March 4, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_69a7838451348190838910e90866a1f0 completed March 4, 2026, 12:57 a.m.
Created at: March 1, 2026, 7:38 p.m.