Triple

T22190677
Position Surface form Disambiguated ID Type / Status
Subject Thugnificent E548412 entity
Predicate hasFriend P8712 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: [Thugnificent, hasFriend, Flo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flo
Context triple: [Thugnificent, hasFriend, 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 a Norwegian surname most notably borne by former professional footballer Tore André Flo, who played as a striker for clubs such as Chelsea and the Norway national team.
  • E. FLO
    FLO is the Norwegian Defence Logistics Organisation, responsible for procuring, managing, and maintaining materiel and logistics support for Norway’s armed forces.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae3e8148190a23decd2dfe24e28 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.