Triple

T7531770
Position Surface form Disambiguated ID Type / Status
Subject I Am Greta E178039 entity
Predicate distributor P1951 FINISHED
Object Dogwoof
Dogwoof is a UK-based film distribution company specializing in acclaimed documentaries and non-fiction cinema.
 E669777 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: Dogwoof | Statement: [I Am Greta, distributor, Dogwoof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dogwoof
Context triple: [I Am Greta, distributor, Dogwoof]
  • A. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • B. Dogghouse
    Dogghouse is a track from Snoop Dogg’s 1998 album "Da Game Is to Be Sold, Not to Be Told."
  • C. Doozer
    Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
  • D. No More Doggin'
    "No More Doggin'" is a rhythm and blues song by Rosco Gordon that became one of his best-known recordings and an influential early example of the shuffle style.
  • E. Bumpy Dog
    Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
  • 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: Dogwoof
Triple: [I Am Greta, distributor, Dogwoof]
Generated description
Dogwoof is a UK-based film distribution company specializing in acclaimed documentaries and non-fiction cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dogwoof
Target entity description: Dogwoof is a UK-based film distribution company specializing in acclaimed documentaries and non-fiction cinema.
  • A. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • B. Dogghouse
    Dogghouse is a track from Snoop Dogg’s 1998 album "Da Game Is to Be Sold, Not to Be Told."
  • C. Doozer
    Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
  • D. No More Doggin'
    "No More Doggin'" is a rhythm and blues song by Rosco Gordon that became one of his best-known recordings and an influential early example of the shuffle style.
  • E. Bumpy Dog
    Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84753fc81908bee2013004ef5fb completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84640cd2c819094d8f72d82c71e67 completed March 28, 2026, 9:21 p.m.
NEDg Description generation batch_69c846d0b1348190bc2bf23e75c535a9 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c84748b8988190b4f85c253ea9e403 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:47 p.m.