Triple

T3877905
Position Surface form Disambiguated ID Type / Status
Subject Bob Peterson E92548 entity
Predicate voiceOf P2181 FINISHED
Object Mr. Ray in Finding Nemo
Mr. Ray in Finding Nemo is the enthusiastic, manta ray schoolteacher who leads and educates Nemo and his classmates on underwater field trips.
E395215 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: Mr. Ray in Finding Nemo | Statement: [Bob Peterson, voiceOf, Mr. Ray in Finding Nemo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Ray in Finding Nemo
Context triple: [Bob Peterson, voiceOf, Mr. Ray in Finding Nemo]
  • A. Dory in Finding Dory
    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.
  • B. Nemo
    Nemo is a graphical file manager for the Cinnamon desktop environment, known for its user-friendly interface and integration with Linux Mint.
  • C. Nemo
    Nemo is the young, adventurous clownfish protagonist of Pixar's animated film "Finding Nemo."
  • D. 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.
  • E. 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.
  • 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: Mr. Ray in Finding Nemo
Triple: [Bob Peterson, voiceOf, Mr. Ray in Finding Nemo]
Generated description
Mr. Ray in Finding Nemo is the enthusiastic, manta ray schoolteacher who leads and educates Nemo and his classmates on underwater field trips.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. Ray in Finding Nemo
Target entity description: Mr. Ray in Finding Nemo is the enthusiastic, manta ray schoolteacher who leads and educates Nemo and his classmates on underwater field trips.
  • A. Dory in Finding Dory
    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.
  • B. Nemo
    Nemo is a graphical file manager for the Cinnamon desktop environment, known for its user-friendly interface and integration with Linux Mint.
  • C. Nemo
    Nemo is the young, adventurous clownfish protagonist of Pixar's animated film "Finding Nemo."
  • D. 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.
  • E. 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.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51251609c81909e19132475eb612d completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b512d3e4ac8190834746b5b1a15fc4 completed March 14, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69b51339ee948190a7c9ab3c5eb106da completed March 14, 2026, 7:50 a.m.
Created at: March 9, 2026, 3:20 p.m.