Triple

T12302325
Position Surface form Disambiguated ID Type / Status
Subject Thumper E293260 entity
Predicate associatedWith P37 FINISHED
Object Flower (skunk)
Flower is the shy, gentle skunk character who befriends Bambi and Thumper in Disney’s animated film "Bambi."
E974037 NE FINISHED

How this triple was built (4 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: Flower (skunk) | Statement: [Thumper, associatedWith, Flower (skunk)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flower (skunk)
Context triple: [Thumper, associatedWith, Flower (skunk)]
  • A. Boomerang Flower
    The Boomerang Flower is a recurring power-up in the Mario series that lets characters throw a returning boomerang to attack opponents and collect items.
  • B. Petal
    Petal is a U.S.-based fintech company that offers credit cards and builds credit for consumers using alternative underwriting methods that go beyond traditional credit scores.
  • C. Petal
    Petal is a small city in southeastern Mississippi, located just across the Leaf River from Hattiesburg in Forrest County.
  • D. Petalas
    Petalas is the largest and most prominent island of the Echinades group in western Greece, known for its rugged terrain and largely undeveloped natural landscape.
  • E. Fire Flower
    The Fire Flower is a recurring power-up in the Super Mario series that lets Mario throw fireballs to defeat enemies and interact with the environment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flower (skunk)
Triple: [Thumper, associatedWith, Flower (skunk)]
Generated description
Flower is the shy, gentle skunk character who befriends Bambi and Thumper in Disney’s animated film "Bambi."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flower (skunk)
Target entity description: Flower is the shy, gentle skunk character who befriends Bambi and Thumper in Disney’s animated film "Bambi."
  • A. Boomerang Flower
    The Boomerang Flower is a recurring power-up in the Mario series that lets characters throw a returning boomerang to attack opponents and collect items.
  • B. Petal
    Petal is a U.S.-based fintech company that offers credit cards and builds credit for consumers using alternative underwriting methods that go beyond traditional credit scores.
  • C. Petal
    Petal is a small city in southeastern Mississippi, located just across the Leaf River from Hattiesburg in Forrest County.
  • D. Petalas
    Petalas is the largest and most prominent island of the Echinades group in western Greece, known for its rugged terrain and largely undeveloped natural landscape.
  • E. Fire Flower
    The Fire Flower is a recurring power-up in the Super Mario series that lets Mario throw fireballs to defeat enemies and interact with the environment.
  • F. None of above. chosen

Provenance (5 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edb59908190bcef9d0cdc11081f completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5cc5608190a67a888eb5136ada completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62006afcc8190b8e3b55a5fd8eaca completed May 2, 2026, 4:02 p.m.
Created at: April 8, 2026, 9:53 p.m.