Triple

T17500958
Position Surface form Disambiguated ID Type / Status
Subject Grover Norquist E426184 entity
Predicate givenName P17 FINISHED
Object Grover 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: Grover | Statement: [Grover Norquist, givenName, Grover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grover
Context triple: [Grover Norquist, givenName, Grover]
  • A. Grover chosen
    Grover is a masculine given name most famously borne by Grover Cleveland, the 22nd and 24th president of the United States.
  • B. Grover
    Grover is a furry blue Muppet monster from Sesame Street known for his enthusiastic personality, frequent mishaps, and alter ego "Super Grover."
  • C. Grunkle Stan
    Grunkle Stan is the gruff, money-obsessed yet secretly caring great-uncle who runs the Mystery Shack in the animated series Gravity Falls.
  • D. Dr. Teeth
    Dr. Teeth is the flamboyant, gold-toothed bandleader and keyboardist of the Electric Mayhem in the Muppets franchise.
  • E. Mr. Schneebly
    Mr. Schneebly is the false substitute-teacher persona adopted by Dewey Finn in the film "School of Rock" to pose as his roommate and secretly coach a class of students into forming a rock band.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45212140c8190a2987ffabbacce22 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.