Triple

T19854949
Position Surface form Disambiguated ID Type / Status
Subject Esprit E477105 entity
Predicate brandNameStyle P14764 FINISHED
Object ESPRIT
ESPRIT is an international fashion and lifestyle brand known for its casual, contemporary clothing and accessories.
E1398006 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: ESPRIT | Statement: [Esprit, brandNameStyle, ESPRIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESPRIT
Context triple: [Esprit, brandNameStyle, ESPRIT]
  • A. Spektrum
    Spektrum is a large indoor arena and event venue in central Oslo, Norway, known for hosting concerts, sports events, and major shows.
  • B. Sparx
    Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
  • C. Eurosam
    Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
  • D. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • E. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • 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: ESPRIT
Triple: [Esprit, brandNameStyle, ESPRIT]
Generated description
ESPRIT is an international fashion and lifestyle brand known for its casual, contemporary clothing and accessories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ESPRIT
Target entity description: ESPRIT is an international fashion and lifestyle brand known for its casual, contemporary clothing and accessories.
  • A. Spektrum
    Spektrum is a large indoor arena and event venue in central Oslo, Norway, known for hosting concerts, sports events, and major shows.
  • B. Sparx
    Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
  • C. Eurosam
    Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
  • D. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • E. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586b5b088190948ef002c1e77176 completed April 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d44364e8819082c2f9ac214106c9 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d4c5097881908ac419ffb3a639da completed May 16, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_6a07d5302eb88190a838610910153459 completed May 16, 2026, 2:23 a.m.
Created at: April 10, 2026, 1:51 p.m.