Triple

T12060617
Position Surface form Disambiguated ID Type / Status
Subject Ariel E287157 entity
Predicate bestFriend P8712 FINISHED
Object Flounder E339891 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: Flounder | Statement: [Ariel, bestFriend, Flounder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flounder
Context triple: [Ariel, bestFriend, Flounder]
  • A. Flounder chosen
    Flounder is Ariel’s loyal but easily frightened tropical fish friend in Disney’s animated film "The Little Mermaid."
  • B. Gurnard
    Gurnard is a coastal village on the Isle of Wight in England, known for its beach, sailing activities, and views across the Solent.
  • C. Ladyfish
    Ladyfish is a supporting animated fish character who serves as the love interest of the title character in the 1964 fantasy-comedy film "The Incredible Mr. Limpet."
  • D. Pleuronectes platessa
    Pleuronectes platessa, commonly known as the European plaice, is a commercially important flatfish species found in the northeastern Atlantic and adjacent seas.
  • E. Karpf
    Karpf is a surname of German origin, likely a variant of "Karp," borne by various individuals across German-speaking regions.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6532a048190b53f96c9df948dda completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.