Triple

T12869984
Position Surface form Disambiguated ID Type / Status
Subject Pepe Jeans E307822 entity
Predicate foundedBy P104 FINISHED
Object Arun Shah
Arun Shah is an entrepreneur best known as one of the founders behind the global denim and casualwear brand Pepe Jeans.
 E1013710 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: Arun Shah | Statement: [Pepe Jeans, foundedBy, Arun Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arun Shah
Context triple: [Pepe Jeans, foundedBy, Arun Shah]
  • A. Sanjay Suri
    Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
  • B. Vikram Kumar
    Vikram Kumar is an Indian film director and screenwriter known for his work in Tamil and Telugu cinema, including acclaimed films like "24" and "Manam."
  • C. Arun Tiwari
    Arun Tiwari is an Indian missile scientist and author best known for co-authoring the autobiography "Wings of Fire" with A. P. J. Abdul Kalam.
  • D. Ravi Jhankal
    Ravi Jhankal is an Indian film, television, and theatre actor known for his character roles in critically acclaimed Hindi productions.
  • E. Rakesh Parashar
    Rakesh "Rick" Parashar was an American record producer and engineer best known for his work on landmark 1990s rock and grunge albums, including Pearl Jam’s "Ten" and Temple of the Dog’s self-titled record.
  • 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: Arun Shah
Triple: [Pepe Jeans, foundedBy, Arun Shah]
Generated description
Arun Shah is an entrepreneur best known as one of the founders behind the global denim and casualwear brand Pepe Jeans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arun Shah
Target entity description: Arun Shah is an entrepreneur best known as one of the founders behind the global denim and casualwear brand Pepe Jeans.
  • A. Sanjay Suri
    Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
  • B. Vikram Kumar
    Vikram Kumar is an Indian film director and screenwriter known for his work in Tamil and Telugu cinema, including acclaimed films like "24" and "Manam."
  • C. Arun Tiwari
    Arun Tiwari is an Indian missile scientist and author best known for co-authoring the autobiography "Wings of Fire" with A. P. J. Abdul Kalam.
  • D. Ravi Jhankal
    Ravi Jhankal is an Indian film, television, and theatre actor known for his character roles in critically acclaimed Hindi productions.
  • E. Rakesh Parashar
    Rakesh "Rick" Parashar was an American record producer and engineer best known for his work on landmark 1990s rock and grunge albums, including Pearl Jam’s "Ten" and Temple of the Dog’s self-titled record.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8cb31dc8190a0dd03ab600d615c completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6baa76e8c8190b84fd31657ef3385 completed May 3, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 5:38 p.m.