Triple

T16053243
Position Surface form Disambiguated ID Type / Status
Subject Hitch E389407 entity
Predicate producer P490 FINISHED
Object Teddy Zee
Teddy Zee is a Hollywood film and television producer and former studio executive known for his work on popular movies such as "Hitch" and "The Pursuit of Happyness."
E1191550 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: Teddy Zee | Statement: [Hitch, producer, Teddy Zee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddy Zee
Context triple: [Hitch, producer, Teddy Zee]
  • A. Joe Zee
    Joe Zee is a Canadian-born fashion stylist, editor, and television personality known for his influential work in fashion media and style-focused TV shows.
  • B. Teddy Sears
    Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
  • C. Teddy Reig
    Teddy Reig was an American jazz record producer best known for his influential work with bebop and swing musicians in the mid-20th century.
  • D. Teddy Walton
    Teddy Walton is an American record producer known for his atmospheric, genre-blending hip-hop and R&B work with artists like Kendrick Lamar, Bryson Tiller, and A$AP Rocky.
  • E. Ted Zachary
    Ted Zachary is a film producer known for his work on movies such as "Four Friends."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teddy Zee
Triple: [Hitch, producer, Teddy Zee]
Generated description
Teddy Zee is a Hollywood film and television producer and former studio executive known for his work on popular movies such as "Hitch" and "The Pursuit of Happyness."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teddy Zee
Target entity description: Teddy Zee is a Hollywood film and television producer and former studio executive known for his work on popular movies such as "Hitch" and "The Pursuit of Happyness."
  • A. Joe Zee
    Joe Zee is a Canadian-born fashion stylist, editor, and television personality known for his influential work in fashion media and style-focused TV shows.
  • B. Teddy Sears
    Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
  • C. Teddy Reig
    Teddy Reig was an American jazz record producer best known for his influential work with bebop and swing musicians in the mid-20th century.
  • D. Teddy Walton
    Teddy Walton is an American record producer known for his atmospheric, genre-blending hip-hop and R&B work with artists like Kendrick Lamar, Bryson Tiller, and A$AP Rocky.
  • E. Ted Zachary
    Ted Zachary is a film producer known for his work on movies such as "Four Friends."
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1836365688190b182f29bbb66127e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe2d87c8190ba7f16feb018e70c completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffdcfe202481909913e9e44ffbf66f completed May 10, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69ffdd8610c081908305a1c2298618c1 completed May 10, 2026, 1:21 a.m.
Created at: April 10, 2026, 4:56 a.m.