Triple

T6258483
Position Surface form Disambiguated ID Type / Status
Subject Shimon Even E140233 entity
Predicate notableStudent P4838 FINISHED
Object Shay Kutten
Shay Kutten is an Israeli computer scientist known for his work in distributed computing and communication networks.
E580627 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: Shay Kutten | Statement: [Shimon Even, notableStudent, Shay Kutten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shay Kutten
Context triple: [Shimon Even, notableStudent, Shay Kutten]
  • A. Shay Hatten
    Shay Hatten is an American screenwriter known for his work on high-octane action films, including entries in the John Wick franchise.
  • B. Patrick "Kitten" Braden
    Patrick "Kitten" Braden is a flamboyant, transgender Irish orphan who embarks on a surreal, often heartbreaking journey of self-discovery and survival amid the political turmoil of 1970s Ireland and London.
  • C. Benji Wojin
    Benji Wojin is one of the children of Google co-founder Sergey Brin.
  • D. Benji Dunn
    Benji Dunn is a tech-savvy field agent and close ally of Ethan Hunt in the Mission: Impossible film series, known for his blend of comic relief and resourcefulness.
  • E. Shay Haley
    Shay Haley is an American musician, producer, and member of the band N.E.R.D., known for his long-time collaboration with Pharrell Williams.
  • 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: Shay Kutten
Triple: [Shimon Even, notableStudent, Shay Kutten]
Generated description
Shay Kutten is an Israeli computer scientist known for his work in distributed computing and communication networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shay Kutten
Target entity description: Shay Kutten is an Israeli computer scientist known for his work in distributed computing and communication networks.
  • A. Shay Hatten
    Shay Hatten is an American screenwriter known for his work on high-octane action films, including entries in the John Wick franchise.
  • B. Patrick "Kitten" Braden
    Patrick "Kitten" Braden is a flamboyant, transgender Irish orphan who embarks on a surreal, often heartbreaking journey of self-discovery and survival amid the political turmoil of 1970s Ireland and London.
  • C. Benji Wojin
    Benji Wojin is one of the children of Google co-founder Sergey Brin.
  • D. Benji Dunn
    Benji Dunn is a tech-savvy field agent and close ally of Ethan Hunt in the Mission: Impossible film series, known for his blend of comic relief and resourcefulness.
  • E. Shay Haley
    Shay Haley is an American musician, producer, and member of the band N.E.R.D., known for his long-time collaboration with Pharrell Williams.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06367e0b48190967ebfb9bfbc9732 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2443f0cb88190a32968fce0214045 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c2471a08448190bb8d61f20403d44b completed March 24, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_69c4fb839b2481909caa57f34a8837db completed March 26, 2026, 9:25 a.m.
Created at: March 22, 2026, 4:24 p.m.