Triple

T22497490
Position Surface form Disambiguated ID Type / Status
Subject Carl Piper E556180 entity
Predicate name P16 FINISHED
Object Carl Piper NE NERFINISHED

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: Carl Piper | Statement: [Carl Piper, name, Carl Piper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Piper
Context triple: [Carl Piper, name, Carl Piper]
  • A. Carl Piper chosen
    Carl Piper was a prominent Swedish statesman and close adviser to King Charles XII during the Great Northern War.
  • B. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • C. Tom Piper
    Tom Piper is a heroic, romantic lead character from the 1961 Disney musical fantasy film "Babes in Toyland," known for his role in thwarting the villain Barnaby and protecting Mary Contrary.
  • D. Ian Meadows
    Ian Meadows is an Australian actor and writer known for his work in television, film, and theatre.
  • E. John Stonehouse
    John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb31b8081909553fa860a07e746 completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.