Triple

T7174970
Position Surface form Disambiguated ID Type / Status
Subject Jack Dyer E167295 entity
Predicate workedFor P1910 FINISHED
Object 3KZ
3KZ was an Australian radio station based in Melbourne, known for its popular sports and entertainment broadcasts in the mid-20th century.
 E646517 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: 3KZ | Statement: [Jack Dyer, workedFor, 3KZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 3KZ
Context triple: [Jack Dyer, workedFor, 3KZ]
  • A. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • B. K3
    K3 is another name for Broad Peak, a major mountain in the Karakoram range and one of the world’s fourteen peaks over 8,000 meters.
  • C. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • D. KAZ
    KAZ is the three-letter ISO 3166-1 alpha-3 country code assigned to Kazakhstan for international standardization and identification.
  • E. GFKZ
    GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
  • 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: 3KZ
Triple: [Jack Dyer, workedFor, 3KZ]
Generated description
3KZ was an Australian radio station based in Melbourne, known for its popular sports and entertainment broadcasts in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 3KZ
Target entity description: 3KZ was an Australian radio station based in Melbourne, known for its popular sports and entertainment broadcasts in the mid-20th century.
  • A. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • B. K3
    K3 is another name for Broad Peak, a major mountain in the Karakoram range and one of the world’s fourteen peaks over 8,000 meters.
  • C. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • D. KAZ
    KAZ is the three-letter ISO 3166-1 alpha-3 country code assigned to Kazakhstan for international standardization and identification.
  • E. GFKZ
    GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88d770c8190b8d06dcd08447c08 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b9281e808190ac2a8ad585a70ea0 completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9993f40819098c59865a3e64532 completed March 28, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba4f196c8190b29e6ddc091f11a6 completed March 28, 2026, 11:23 a.m.
Created at: March 27, 2026, 2:48 p.m.