Triple

T2139996
Position Surface form Disambiguated ID Type / Status
Subject Finding Dory E46738 entity
Predicate character P662 FINISHED
Object Nemo E236492 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: Nemo | Statement: [Finding Dory, character, Nemo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nemo
Context triple: [Finding Dory, character, Nemo]
  • A. Nemo
    Nemo is a graphical file manager for the Cinnamon desktop environment, known for its user-friendly interface and integration with Linux Mint.
  • B. Nemo chosen
    Nemo is the young, adventurous clownfish protagonist of Pixar's animated film "Finding Nemo."
  • C. Marlin
    Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
  • D. The Flounder
    The Flounder is a novel by Nobel Prize–winning German author Günter Grass that blends myth, history, and political satire through the fantastical tale of a talking fish influencing human events.
  • E. Billy the Marlin
    Billy the Marlin is the colorful, anthropomorphic marlin who serves as the energetic official mascot of Major League Baseball’s Miami Marlins.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe025d3c81908bcb33a7ff09eae8 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71af0fa081909dd4b2a7452623da completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:44 p.m.