Triple

T2732511
Position Surface form Disambiguated ID Type / Status
Subject Jerry Seinfeld E60346 entity
Predicate notableWork P4 FINISHED
Object Seinlanguage
Seinlanguage is a bestselling 1993 book by comedian Jerry Seinfeld that compiles his observational stand-up routines into written form.
E292644 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: Seinlanguage | Statement: [Jerry Seinfeld, notableWork, Seinlanguage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seinlanguage
Context triple: [Jerry Seinfeld, notableWork, Seinlanguage]
  • A. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • B. Sehwi language
    The Sehwi language is a Niger-Congo language spoken primarily by the Sehwi people of western Ghana.
  • C. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • D. Amuesha language
    The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
  • E. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • 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: Seinlanguage
Triple: [Jerry Seinfeld, notableWork, Seinlanguage]
Generated description
Seinlanguage is a bestselling 1993 book by comedian Jerry Seinfeld that compiles his observational stand-up routines into written form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seinlanguage
Target entity description: Seinlanguage is a bestselling 1993 book by comedian Jerry Seinfeld that compiles his observational stand-up routines into written form.
  • A. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • B. Sehwi language
    The Sehwi language is a Niger-Congo language spoken primarily by the Sehwi people of western Ghana.
  • C. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • D. Amuesha language
    The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
  • E. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaf011548190beb9c3feee7b743f completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69eeedc81908ad654de9e1259ea completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb703a5f8819097b71e19db11feaf completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7acf3588190813bde4428dfe5f4 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:56 p.m.