Triple

T19854287
Position Surface form Disambiguated ID Type / Status
Subject Billabong E477089 entity
Predicate hasBrand P1500 FINISHED
Object Von Zipper
Von Zipper is a lifestyle eyewear and accessories brand known for its surf, skate, and snow-inspired sunglasses and goggles.
E1397990 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: Von Zipper | Statement: [Billabong, hasBrand, Von Zipper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Von Zipper
Context triple: [Billabong, hasBrand, Von Zipper]
  • A. Zipper
    Zipper was the codename for a planned British amphibious operation to recapture Malaya from Japanese control near the end of World War II.
  • B. Willi
    Willi is a given name, typically a variant of Willy or William, used in various European countries.
  • C. Von Roll
    Von Roll is a Swiss engineering company historically known for manufacturing aerial ropeways, cable cars, and other transport and industrial systems worldwide.
  • D. ZIPPY
    ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
  • E. Zuiker
    Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
  • 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: Von Zipper
Triple: [Billabong, hasBrand, Von Zipper]
Generated description
Von Zipper is a lifestyle eyewear and accessories brand known for its surf, skate, and snow-inspired sunglasses and goggles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Von Zipper
Target entity description: Von Zipper is a lifestyle eyewear and accessories brand known for its surf, skate, and snow-inspired sunglasses and goggles.
  • A. Zipper
    Zipper was the codename for a planned British amphibious operation to recapture Malaya from Japanese control near the end of World War II.
  • B. Willi
    Willi is a given name, typically a variant of Willy or William, used in various European countries.
  • C. Von Roll
    Von Roll is a Swiss engineering company historically known for manufacturing aerial ropeways, cable cars, and other transport and industrial systems worldwide.
  • D. ZIPPY
    ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
  • E. Zuiker
    Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
  • 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_69e6586aa1dc8190b6cfe051a57e338b 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.