Triple

T2124521
Position Surface form Disambiguated ID Type / Status
Subject Finding Nemo E46396 entity
Predicate mainCharacter P1183 FINISHED
Object Dory E62340 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: Dory | Statement: [Finding Nemo, mainCharacter, Dory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dory
Context triple: [Finding Nemo, mainCharacter, Dory]
  • 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
    Nemo is the young, adventurous clownfish protagonist of Pixar's animated film "Finding Nemo."
  • C. Dory in Finding Dory chosen
    Dory in Finding Dory is a friendly, optimistic blue tang fish with short-term memory loss who embarks on an ocean-spanning journey to find her long-lost family.
  • D. 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.
  • E. 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.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58cf2a588190a59dc1ae5d684538 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.