Triple

T21402869
Position Surface form Disambiguated ID Type / Status
Subject Robert Stevenson E527954 entity
Predicate directed P7373 FINISHED
Object Son of Flubber 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: Son of Flubber | Statement: [Robert Stevenson, directed, Son of Flubber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Son of Flubber
Context triple: [Robert Stevenson, directed, Son of Flubber]
  • A. Son of Flubber chosen
    Son of Flubber is a 1963 Disney science-fiction comedy film and sequel to The Absent-Minded Professor, centered on a quirky professor’s misadventures with his anti-gravity invention.
  • B. Flubber
    Flubber is a 1997 science-fiction comedy film starring Robin Williams as an eccentric professor who invents a bouncy, sentient green substance.
  • C. FLUDD
    FLUDD is a sentient water-spraying backpack device used by Mario in Super Mario Sunshine to clean up goop and gain new movement abilities.
  • D. Honey, I Blew Up the Kid
    Honey, I Blew Up the Kid is a 1992 family sci-fi comedy film and sequel to Honey, I Shrunk the Kids, in which a scientist accidentally causes his toddler son to grow to gigantic proportions.
  • E. Cloudy with a Chance of Meatballs
    Cloudy with a Chance of Meatballs is an animated comedy film about a young inventor whose machine makes food fall from the sky, leading to chaotic and humorous consequences.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b171f3448190add844a426b0a606 completed April 22, 2026, 11:30 a.m.
Created at: April 16, 2026, 5:24 p.m.