Triple

T19453963
Position Surface form Disambiguated ID Type / Status
Subject Hawkins Police Department E486687 entity
Predicate hasMember P10 FINISHED
Object Flo 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: Flo | Statement: [Hawkins Police Department, hasMember, Flo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flo
Context triple: [Hawkins Police Department, hasMember, Flo]
  • A. Flo
    Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
  • B. Flo chosen
    Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
  • C. Flo
    Flo is a Turkish film directed by Geoffrey Lewis, recognized as one of his notable works.
  • D. FLO
    FLO is the Norwegian Defence Logistics Organisation, responsible for procuring, managing, and maintaining materiel and logistics support for Norway’s armed forces.
  • E. Fra
    Fra is a chivalric honorific used within the Knights Hospitaller (Order of Malta) to denote a professed knight or brother.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c117ac8190a38c01c3191beaea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.