Triple

T1717242
Position Surface form Disambiguated ID Type / Status
Subject DuPont E37316 entity
Predicate developed P73 FINISHED
Object Lycra
Lycra is a synthetic elastane fiber known for its exceptional stretch and recovery, widely used in sportswear, swimwear, and other form-fitting garments.
 E192841 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: Lycra | Statement: [DuPont, developed, Lycra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lycra
Context triple: [DuPont, developed, Lycra]
  • A. FDY
    FDY is the ICAO airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • B. Seaborn Cotton
    Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
  • C. Vestini
    The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
  • D. Fruit of the Loom
    Fruit of the Loom is a major American clothing manufacturer best known for its underwear, casualwear, and iconic fruit-themed logo.
  • E. Garter
    The Garter is a prestigious emblem associated with the Order of the Garter, one of the highest orders of chivalry in the United Kingdom, traditionally worn by royal knights and ladies.
  • 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: Lycra
Triple: [DuPont, developed, Lycra]
Generated description
Lycra is a synthetic elastane fiber known for its exceptional stretch and recovery, widely used in sportswear, swimwear, and other form-fitting garments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lycra
Target entity description: Lycra is a synthetic elastane fiber known for its exceptional stretch and recovery, widely used in sportswear, swimwear, and other form-fitting garments.
  • A. FDY
    FDY is the ICAO airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • B. Seaborn Cotton
    Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
  • C. Vestini
    The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
  • D. Fruit of the Loom
    Fruit of the Loom is a major American clothing manufacturer best known for its underwear, casualwear, and iconic fruit-themed logo.
  • E. Garter
    The Garter is a prestigious emblem associated with the Order of the Garter, one of the highest orders of chivalry in the United Kingdom, traditionally worn by royal knights and ladies.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63362ba481909e08e9f6fbf00b37 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae6940c81909c1ebdfb0cdef5fc completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957adf1c8190b7c8656c1984f998 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97af6b388190b2af293599108df3 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.