Triple

T10252857
Position Surface form Disambiguated ID Type / Status
Subject Ragtime E240386 entity
Predicate producedBy P490 FINISHED
Object Livent
Livent was a prominent Canadian theatrical production company best known for staging large-scale Broadway and touring musicals in the 1990s.
 E854050 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: Livent | Statement: [Ragtime, producedBy, Livent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Livent
Context triple: [Ragtime, producedBy, Livent]
  • A. Ivisan
    Ivisan is a coastal municipality in the province of Capiz in the Western Visayas region of the Philippines.
  • B. Relva
    Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • C. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • D. Vivara
    Vivara is a small, crescent-shaped islet and nature reserve off the coast of Procida in the Bay of Naples, known for its rich biodiversity and archaeological remains.
  • E. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • 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: Livent
Triple: [Ragtime, producedBy, Livent]
Generated description
Livent was a prominent Canadian theatrical production company best known for staging large-scale Broadway and touring musicals in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Livent
Target entity description: Livent was a prominent Canadian theatrical production company best known for staging large-scale Broadway and touring musicals in the 1990s.
  • A. Ivisan
    Ivisan is a coastal municipality in the province of Capiz in the Western Visayas region of the Philippines.
  • B. Relva
    Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • C. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • D. Vivara
    Vivara is a small, crescent-shaped islet and nature reserve off the coast of Procida in the Bay of Naples, known for its rich biodiversity and archaeological remains.
  • E. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23f106c81909c1ce20a2ffa86ea completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7c6aca08190b15e3790cad12532 completed April 9, 2026, 12:50 a.m.
NEDg Description generation batch_69d6fcab0bfc8190b47bc165ef3eb15d completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d70fc3b15081908d1b67a7094c6210 completed April 9, 2026, 2:32 a.m.
Created at: April 6, 2026, 11:29 a.m.