Triple

T11778339
Position Surface form Disambiguated ID Type / Status
Subject Rugrats E280074 entity
Predicate hasMainCharacter P1183 FINISHED
Object Phil DeVille
Phil DeVille is a mischievous, mud-loving baby boy and one of the main infant characters in the animated television series "Rugrats."
 E946138 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: Phil DeVille | Statement: [Rugrats, hasMainCharacter, Phil DeVille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phil DeVille
Context triple: [Rugrats, hasMainCharacter, Phil DeVille]
  • A. Don Guest
    Don Guest is a film and television producer known for his work on the project "Blue Collar."
  • B. Dennis Hone
    Dennis Hone is a British public sector executive known for leading the Olympic Delivery Authority as its chief executive during the preparations for the London 2012 Olympic Games.
  • C. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • D. Alan McNeil
    Alan McNeil is an editor known for his work on the publication "The Cat's-Paw."
  • E. Peter Cattaneo
    Peter Cattaneo is a British film director best known for his Oscar-nominated work on the hit comedy-drama "The Full Monty."
  • 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: Phil DeVille
Triple: [Rugrats, hasMainCharacter, Phil DeVille]
Generated description
Phil DeVille is a mischievous, mud-loving baby boy and one of the main infant characters in the animated television series "Rugrats."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phil DeVille
Target entity description: Phil DeVille is a mischievous, mud-loving baby boy and one of the main infant characters in the animated television series "Rugrats."
  • A. Don Guest
    Don Guest is a film and television producer known for his work on the project "Blue Collar."
  • B. Dennis Hone
    Dennis Hone is a British public sector executive known for leading the Olympic Delivery Authority as its chief executive during the preparations for the London 2012 Olympic Games.
  • C. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • D. Alan McNeil
    Alan McNeil is an editor known for his work on the publication "The Cat's-Paw."
  • E. Peter Cattaneo
    Peter Cattaneo is a British film director best known for his Oscar-nominated work on the hit comedy-drama "The Full Monty."
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a560bf548190afab3ad14f953a71 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090b8f4c481908cb3cf03875c0e24 completed April 28, 2026, 10:49 a.m.
NEDg Description generation batch_69f0bd3e585481908223acfd780a72a2 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef31076c8190b33a6a2778d7ffbb completed April 28, 2026, 5:32 p.m.
Created at: April 8, 2026, 9:42 p.m.