Triple

T19998902
Position Surface form Disambiguated ID Type / Status
Subject How It’s Made E494266 entity
Predicate narrationBy P2181 FINISHED
Object Zay Harding
Zay Harding is a television host and narrator best known for his work on documentary and educational series such as "How It’s Made."
 E1405388 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: Zay Harding | Statement: [How It’s Made, narrationBy, Zay Harding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zay Harding
Context triple: [How It’s Made, narrationBy, Zay Harding]
  • A. Zack Hemsey
    Zack Hemsey is an American composer and hip-hop artist known for his cinematic, emotionally intense music frequently used in film trailers and soundtracks.
  • B. Zack Ward
    Zack Ward is a Canadian actor best known for his roles in films like "A Christmas Story" and numerous genre and television productions.
  • C. Zackary Drucker
    Zackary Drucker is an American transgender artist, producer, and activist known for her work exploring gender, identity, and representation in contemporary media and art.
  • D. Zay
    Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
  • E. Zay
    Zay is a lesser-known Ethiopian Semitic language spoken by the Zay people, primarily around Lake Ziway in central Ethiopia.
  • 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: Zay Harding
Triple: [How It’s Made, narrationBy, Zay Harding]
Generated description
Zay Harding is a television host and narrator best known for his work on documentary and educational series such as "How It’s Made."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zay Harding
Target entity description: Zay Harding is a television host and narrator best known for his work on documentary and educational series such as "How It’s Made."
  • A. Zack Hemsey
    Zack Hemsey is an American composer and hip-hop artist known for his cinematic, emotionally intense music frequently used in film trailers and soundtracks.
  • B. Zack Ward
    Zack Ward is a Canadian actor best known for his roles in films like "A Christmas Story" and numerous genre and television productions.
  • C. Zackary Drucker
    Zackary Drucker is an American transgender artist, producer, and activist known for her work exploring gender, identity, and representation in contemporary media and art.
  • D. Zay
    Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
  • E. Zay
    Zay is a lesser-known Ethiopian Semitic language spoken by the Zay people, primarily around Lake Ziway in central Ethiopia.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a09bdc819083305b08a11c6e34 completed April 20, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080509d0748190a2703a2e3ddb0fc1 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0806563e1c8190b702fcfc009c84d5 completed May 16, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0806e876c881909f0c30e5dd16ce20 completed May 16, 2026, 5:55 a.m.
Created at: April 11, 2026, 3:32 p.m.