Triple

T13163510
Position Surface form Disambiguated ID Type / Status
Subject Wayne Chrebet E312785 entity
Predicate familyName P18 FINISHED
Object Chrebet
Chrebet is the surname of former New York Jets wide receiver Wayne Chrebet, who became a fan favorite for his toughness and clutch performances in the NFL.
 E1024131 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: Chrebet | Statement: [Wayne Chrebet, familyName, Chrebet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chrebet
Context triple: [Wayne Chrebet, familyName, Chrebet]
  • A. Gavrontsi
    Gavrontsi is a village in present-day Ukraine known primarily as the birthplace of the 19th-century Russian-French diarist and painter Marie Bashkirtseff.
  • B. Glinojeck
    Glinojeck is a small town in east-central Poland, located in the Masovian Voivodeship.
  • C. Choma
    Choma is a town in southern Zambia that serves as an important administrative and commercial center for the surrounding agricultural region.
  • D. Choma
    Choma is the protagonist of the Kannada novel "Chomana Dudi," depicted as an oppressed Dalit farmer struggling against caste discrimination and social injustice.
  • E. Vráble
    Vráble is a small town in western Slovakia known for its agricultural surroundings and location near the city of Nitra.
  • 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: Chrebet
Triple: [Wayne Chrebet, familyName, Chrebet]
Generated description
Chrebet is the surname of former New York Jets wide receiver Wayne Chrebet, who became a fan favorite for his toughness and clutch performances in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chrebet
Target entity description: Chrebet is the surname of former New York Jets wide receiver Wayne Chrebet, who became a fan favorite for his toughness and clutch performances in the NFL.
  • A. Gavrontsi
    Gavrontsi is a village in present-day Ukraine known primarily as the birthplace of the 19th-century Russian-French diarist and painter Marie Bashkirtseff.
  • B. Glinojeck
    Glinojeck is a small town in east-central Poland, located in the Masovian Voivodeship.
  • C. Choma
    Choma is a town in southern Zambia that serves as an important administrative and commercial center for the surrounding agricultural region.
  • D. Choma
    Choma is the protagonist of the Kannada novel "Chomana Dudi," depicted as an oppressed Dalit farmer struggling against caste discrimination and social injustice.
  • E. Vráble
    Vráble is a small town in western Slovakia known for its agricultural surroundings and location near the city of Nitra.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf4cd788190b74cca51b5219bfb completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6eeefa9a08190b042212f24735ca7 completed May 3, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69f6ef933f888190880e680f7f4c1c29 completed May 3, 2026, 6:47 a.m.
Created at: April 9, 2026, 9:13 p.m.