Triple

T1438546
Position Surface form Disambiguated ID Type / Status
Subject Noddy E31013 entity
Predicate hasFriend P8712 FINISHED
Object Dinah Doll
Dinah Doll is a character from the children's franchise "Noddy," known as one of Noddy's close friends in Toyland.
 E166355 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: Dinah Doll | Statement: [Noddy, hasFriend, Dinah Doll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dinah Doll
Context triple: [Noddy, hasFriend, Dinah Doll]
  • A. Babydoll
    "Babydoll" is a song by the American alternative rock band Butterfly.
  • B. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • C. Barbie
    Barbie is a 2023 fantasy-comedy film directed by Greta Gerwig that reimagines the iconic Mattel doll in a satirical, self-aware story exploring gender roles, identity, and consumer culture.
  • D. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • E. Lucille
    Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
  • 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: Dinah Doll
Triple: [Noddy, hasFriend, Dinah Doll]
Generated description
Dinah Doll is a character from the children's franchise "Noddy," known as one of Noddy's close friends in Toyland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dinah Doll
Target entity description: Dinah Doll is a character from the children's franchise "Noddy," known as one of Noddy's close friends in Toyland.
  • A. Babydoll
    "Babydoll" is a song by the American alternative rock band Butterfly.
  • B. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • C. Barbie
    Barbie is a 2023 fantasy-comedy film directed by Greta Gerwig that reimagines the iconic Mattel doll in a satirical, self-aware story exploring gender roles, identity, and consumer culture.
  • D. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • E. Lucille
    Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c506d5ac8190b4c5b394c6d3f414 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08ba2cf88190a859bb0974761968 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad0bc943488190892a88f4c0e392b9 completed March 8, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_69ad0c6abed48190815252fabc992c48 completed March 8, 2026, 5:43 a.m.
Created at: March 1, 2026, 8 p.m.