Triple

T19998896
Position Surface form Disambiguated ID Type / Status
Subject How It’s Made E494266 entity
Predicate narrationBy P2181 FINISHED
Object Mark Tewksbury
Mark Tewksbury is a Canadian former Olympic backstroke champion and sports commentator who later became a prominent motivational speaker and LGBTQ+ advocate.
 E1406951 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: Mark Tewksbury | Statement: [How It’s Made, narrationBy, Mark Tewksbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Tewksbury
Context triple: [How It’s Made, narrationBy, Mark Tewksbury]
  • A. Mark Tibbett
    Mark Tibbett is an individual notable enough to be specifically cited as a bearer of the surname Tibbett.
  • B. Michael Tapper
    Michael Tapper is an American drummer best known for his work in indie and experimental rock bands, including his tenure with the group Grizzly Bear.
  • C. Mark Tucker
    Mark Tucker is a video game designer known for his work on Bethesda's online action role-playing game Fallout 76.
  • D. Dirk Kempthorne
    Dirk Kempthorne is an American Republican politician who served as governor of Idaho and later as U.S. Secretary of the Interior under President George W. Bush.
  • E. Ed Crenshaw
    Ed Crenshaw is an American business executive best known for serving as the CEO of Publix Super Markets.
  • 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: Mark Tewksbury
Triple: [How It’s Made, narrationBy, Mark Tewksbury]
Generated description
Mark Tewksbury is a Canadian former Olympic backstroke champion and sports commentator who later became a prominent motivational speaker and LGBTQ+ advocate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Tewksbury
Target entity description: Mark Tewksbury is a Canadian former Olympic backstroke champion and sports commentator who later became a prominent motivational speaker and LGBTQ+ advocate.
  • A. Mark Tibbett
    Mark Tibbett is an individual notable enough to be specifically cited as a bearer of the surname Tibbett.
  • B. Michael Tapper
    Michael Tapper is an American drummer best known for his work in indie and experimental rock bands, including his tenure with the group Grizzly Bear.
  • C. Mark Tucker
    Mark Tucker is a video game designer known for his work on Bethesda's online action role-playing game Fallout 76.
  • D. Dirk Kempthorne
    Dirk Kempthorne is an American Republican politician who served as governor of Idaho and later as U.S. Secretary of the Interior under President George W. Bush.
  • E. Ed Crenshaw
    Ed Crenshaw is an American business executive best known for serving as the CEO of Publix Super Markets.
  • 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_6a080e1e62dc81909c98de9676e80f97 completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080f25c944819091dea5feb7ffb15a completed May 16, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_6a080fbec30481909bc3c7a864785b61 completed May 16, 2026, 6:33 a.m.
Created at: April 11, 2026, 3:32 p.m.