Triple

T12928507
Position Surface form Disambiguated ID Type / Status
Subject Lumpy Space Princess E309307 entity
Predicate nickname P55 FINISHED
Object LSP
LSP is a melodramatic, floating purple princess from the Lumpy Space dimension in the animated series "Adventure Time."
 E1011130 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: LSP | Statement: [Lumpy Space Princess, nickname, LSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LSP
Context triple: [Lumpy Space Princess, nickname, LSP]
  • A. LTSB
    LTSB is a specialized edition of Windows designed for long-term stability and minimal feature changes, primarily used in enterprise and mission-critical environments.
  • B. LSR
    LSR is a prestigious women’s college in New Delhi, India, renowned for its academic excellence and affiliation with the University of Delhi.
  • C. LASK
    LASK is a professional Austrian football club based in Linz that competes in the Austrian Bundesliga.
  • D. LSPE
    LSPE is a lunar science experiment designed to study the Moon’s internal structure by measuring and analyzing seismic activity on its surface.
  • E. LDSP
    LDSP is the ICAO airport code for Split Airport, an international airport serving the city of Split and the Dalmatian coast in Croatia.
  • 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: LSP
Triple: [Lumpy Space Princess, nickname, LSP]
Generated description
LSP is a melodramatic, floating purple princess from the Lumpy Space dimension in the animated series "Adventure Time."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LSP
Target entity description: LSP is a melodramatic, floating purple princess from the Lumpy Space dimension in the animated series "Adventure Time."
  • A. LTSB
    LTSB is a specialized edition of Windows designed for long-term stability and minimal feature changes, primarily used in enterprise and mission-critical environments.
  • B. LSR
    LSR is a prestigious women’s college in New Delhi, India, renowned for its academic excellence and affiliation with the University of Delhi.
  • C. LASK
    LASK is a professional Austrian football club based in Linz that competes in the Austrian Bundesliga.
  • D. LSPE
    LSPE is a lunar science experiment designed to study the Moon’s internal structure by measuring and analyzing seismic activity on its surface.
  • E. LDSP
    LDSP is the ICAO airport code for Split Airport, an international airport serving the city of Split and the Dalmatian coast in Croatia.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6655e88190ac33567870a947bb completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:42 p.m.