Triple

T22946202
Position Surface form Disambiguated ID Type / Status
Subject Hardy family E569880 entity
Predicate hasMember P10 FINISHED
Object Frank Hardy 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: Frank Hardy | Statement: [Hardy family, hasMember, Frank Hardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Hardy
Context triple: [Hardy family, hasMember, Frank Hardy]
  • A. Frank Hardy chosen
    Frank Hardy is one of the two teenage brother detectives in the long-running mystery book series "The Hardy Boys."
  • B. Sam Hardy
    Sam Hardy was an American character actor of the early 20th century, known for his supporting roles in numerous Hollywood films during the 1920s and 1930s.
  • C. Henry Hardy
    Henry Hardy is a British editor and scholar best known for compiling and publishing the works of philosopher Isaiah Berlin.
  • D. Joe Hardy
    Joe Hardy was an American record producer and engineer known for his work with major rock and country artists, including Shania Twain and ZZ Top.
  • E. Joe Hardy
    Joe Hardy is one of the two teenage brother detectives in the long-running Hardy Boys mystery book series.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819d2d7881909e6390717ff79df0 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.