Triple

T7530458
Position Surface form Disambiguated ID Type / Status
Subject Sesame Place E178008 entity
Predicate hasCharacter P2308 FINISHED
Object Abby Cadabby E290275 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: Abby Cadabby | Statement: [Sesame Place, hasCharacter, Abby Cadabby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abby Cadabby
Context triple: [Sesame Place, hasCharacter, Abby Cadabby]
  • A. Abby Cadabby chosen
    Abby Cadabby is a pink, fairy-in-training Muppet known for her magical abilities and childlike curiosity on the children's television show Sesame Street.
  • B. Dora the Explorer
    Dora the Explorer is a popular animated children's television series featuring a young Latina girl who embarks on interactive adventures while teaching viewers basic problem-solving and Spanish vocabulary.
  • C. Abby
    Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
  • D. Abby
    Abby is a feminine given name, often used as a diminutive of Abigail and popular in English-speaking countries.
  • E. Trixie Delight
    Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6f8217b1c8190b3db453cee0fc4fd completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8463e08ac8190abd4d19b58067233 completed March 28, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:47 p.m.