Triple

T976243
Position Surface form Disambiguated ID Type / Status
Subject ¡Dos! E21058 entity
Predicate hasPart P35 FINISHED
Object Ashley
Ashley is a character featured in the animated children’s series "¡Dos!"
E147084 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: Ashley | Statement: [¡Dos!, hasPart, Ashley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashley
Context triple: [¡Dos!, hasPart, Ashley]
  • A. Ainsley
    Ainsley is a secondary character in Margaret Atwood's novel "The Edible Woman," known for her conventional femininity and contrasting attitudes toward gender roles compared to the protagonist.
  • B. Kelly Grayson
    Kelly Grayson is a central character on the science fiction comedy series "The Orville," serving as the ship's first officer and the ex-wife of Captain Ed Mercer.
  • C. Lauren
    Lauren is a central female protagonist in the romantic comedy film "Think Like a Man," portrayed as a successful, relationship-seeking woman whose love life is influenced by Steve Harvey’s dating advice.
  • D. Lindsay
    Lindsay is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who rebuilds his life in the underworld of Bombay.
  • E. Amanda
    Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
  • 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: Ashley
Triple: [¡Dos!, hasPart, Ashley]
Generated description
Ashley is a character featured in the animated children’s series "¡Dos!"
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashley
Target entity description: Ashley is a character featured in the animated children’s series "¡Dos!"
  • A. Ainsley
    Ainsley is a secondary character in Margaret Atwood's novel "The Edible Woman," known for her conventional femininity and contrasting attitudes toward gender roles compared to the protagonist.
  • B. Kelly Grayson
    Kelly Grayson is a central character on the science fiction comedy series "The Orville," serving as the ship's first officer and the ex-wife of Captain Ed Mercer.
  • C. Lauren
    Lauren is a central female protagonist in the romantic comedy film "Think Like a Man," portrayed as a successful, relationship-seeking woman whose love life is influenced by Steve Harvey’s dating advice.
  • D. Lindsay
    Lindsay is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who rebuilds his life in the underworld of Bombay.
  • E. Amanda
    Amanda is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her resilience and survival skills in a post-apocalyptic world.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46234c88190b2bfc9cafe59d7f7 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acaca8b4f08190aec2602935bc112e completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad1532948190ade8ed4f5241620e completed March 7, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_69acad77d9e88190ab1ba9ed8a1d9363 completed March 7, 2026, 10:58 p.m.
Created at: March 1, 2026, 7:40 p.m.