Triple

T1518540
Position Surface form Disambiguated ID Type / Status
Subject Mickey Mouse franchise E32173 entity
Predicate hasCharacter P2308 FINISHED
Object Chip
Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
 E173094 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: Chip | Statement: [Mickey Mouse franchise, hasCharacter, Chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chip
Context triple: [Mickey Mouse franchise, hasCharacter, Chip]
  • A. CHIP
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • B. Pixel
    Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
  • C. Chuck
    Chuck is an American action-comedy television series that blends spy drama with workplace humor, centered on an ordinary computer geek who accidentally becomes a government asset.
  • D. Chuck
    Chuck is a common diminutive form of the given name Charles, often used as a familiar or informal nickname.
  • E. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • 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: Chip
Triple: [Mickey Mouse franchise, hasCharacter, Chip]
Generated description
Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chip
Target entity description: Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
  • A. CHIP
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • B. Pixel
    Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
  • C. Chuck
    Chuck is an American action-comedy television series that blends spy drama with workplace humor, centered on an ordinary computer geek who accidentally becomes a government asset.
  • D. Chuck
    Chuck is a common diminutive form of the given name Charles, often used as a familiar or informal nickname.
  • E. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907ed44ac8190953e428c831e24df completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2346e7b481909c105a969724591d completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23d86d088190bbea03d5d49bc009 completed March 8, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69ad2459c38c8190a8c166c2743a8936 completed March 8, 2026, 7:25 a.m.
Created at: March 4, 2026, 7:26 p.m.