Triple

T7421468
Position Surface form Disambiguated ID Type / Status
Subject Lil E171255 entity
Predicate associatedWithConcept P531 FINISHED
Object Whuffie E171257 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: Whuffie | Statement: [Lil, associatedWithConcept, Whuffie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whuffie
Context triple: [Lil, associatedWithConcept, Whuffie]
  • A. Whuffie chosen
    Whuffie is a fictional reputation-based currency that measures social capital and replaces money in Cory Doctorow’s science fiction novel "Down and Out in the Magic Kingdom."
  • B. Hypecoum
    Hypecoum is a small genus of flowering plants in the poppy order (Papaverales), known for its delicate, often yellow or orange flowers and occurrence in temperate regions of Eurasia and North Africa.
  • C. Nosedive
    Nosedive is a Black Mirror episode that satirically explores a near-future society obsessed with social media ratings and the consequences of living for online approval.
  • D. The Facebook Effect
    The Facebook Effect is a nonfiction book by David Kirkpatrick that chronicles the founding, growth, and global impact of Facebook on technology, business, and society.
  • E. Hi5
    Hi5 is a social networking website that gained popularity in the mid-2000s as an alternative platform for connecting and sharing with friends online.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ef7fc808190a564ab4d9d97ab37 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.