Triple

T6525086
Position Surface form Disambiguated ID Type / Status
Subject FIRST E151281 entity
Predicate foundedBy P104 FINISHED
Object Woodie Flowers E151278 NE FINISHED

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: Woodie Flowers | Statement: [FIRST, foundedBy, Woodie Flowers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodie Flowers
Context triple: [FIRST, foundedBy, Woodie Flowers]
  • A. Woodie Flowers chosen
    Woodie Flowers was an American mechanical engineering professor and influential robotics education advocate best known for co-founding and shaping the culture of the FIRST Robotics Competition.
  • B. Woodie
    Woodie is a central character known for embodying the laid-back, carefree spirit associated with "good vibes."
  • C. Bille Woodruff
    Bille Woodruff is an American film and music video director known for his work with major R&B and pop artists as well as directing feature films like "Honey."
  • D. Leon Frierson
    Leon Frierson is an American actor and comedian best known for being a cast member on the Nickelodeon sketch comedy series "All That" in the late 1990s and early 2000s.
  • E. Jack Otterson
    Jack Otterson was an American art director known for his prolific work on Hollywood films in the 1930s and 1940s, often contributing to the visual style of major studio productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9831f88190a2b64cf6bc8c9a11 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5271b7c8190a602f6ec72efe04c completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:45 p.m.