Triple

T28674656
Position Surface form Disambiguated ID Type / Status
Subject Faerie Tale Theatre E725828 entity
Predicate productionCompany P490 FINISHED
Object Platypus Productions
Platypus Productions is a television production company best known for producing the 1980s live-action children's anthology series "Faerie Tale Theatre."
E1827356 NE FINISHED

How this triple was built (2 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: Platypus Productions | Statement: [Faerie Tale Theatre, productionCompany, Platypus Productions]
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: Platypus Productions
Triple: [Faerie Tale Theatre, productionCompany, Platypus Productions]
Generated description
Platypus Productions is a television production company best known for producing the 1980s live-action children's anthology series "Faerie Tale Theatre."

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_69f01d867608819086bc3e6b4f9de866 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f656332d6c81909ad54669e9559ccc completed May 2, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc3a655908190ac93d10c7679f9e1 completed May 31, 2026, 11:26 p.m.
NEDg Description generation batch_6a1cc4088b408190b5ad487fcdfac2ac completed May 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc4b69e5c8190bae7beb6a8b82aa7 completed May 31, 2026, 11:31 p.m.
Created at: April 28, 2026, 5:05 a.m.