Triple

T5101116
Position Surface form Disambiguated ID Type / Status
Subject Ted Lasso E114981 entity
Predicate productionCompany P490 FINISHED
Object Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
 E494434 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: Doozer | Statement: [Ted Lasso, productionCompany, Doozer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doozer
Context triple: [Ted Lasso, productionCompany, Doozer]
  • A. Doo-Dah
    Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
  • B. Denguin
    Denguin is a small commune in southwestern France, located in the Pyrénées-Atlantiques department in the Nouvelle-Aquitaine region.
  • C. Dug
    Dug is the lovable, talking golden retriever from Pixar's animated film "Up," known for his collar that translates his thoughts into speech and his enthusiastic, friendly personality.
  • D. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • E. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • 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: Doozer
Triple: [Ted Lasso, productionCompany, Doozer]
Generated description
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doozer
Target entity description: Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
  • A. Doo-Dah
    Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
  • B. Denguin
    Denguin is a small commune in southwestern France, located in the Pyrénées-Atlantiques department in the Nouvelle-Aquitaine region.
  • C. Dug
    Dug is the lovable, talking golden retriever from Pixar's animated film "Up," known for his collar that translates his thoughts into speech and his enthusiastic, friendly personality.
  • D. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • E. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8d24388190882b9933a2a798c4 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebbe7e8e081909814e97001f8cf89 completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebd33f25c8190a5d9b78ef71847e3 completed March 21, 2026, 3:45 p.m.
Created at: March 20, 2026, 1:40 p.m.