Triple

T10897541
Position Surface form Disambiguated ID Type / Status
Subject Meilin "Mei" Lee E257349 entity
Predicate hasAunt P47317 FINISHED
Object Lily
Lily is a supporting character in Pixar's animated film "Turning Red," appearing as one of Meilin "Mei" Lee's aunts in her extended family.
E892934 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: Lily | Statement: [Meilin "Mei" Lee, hasAunt, Lily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lily
Context triple: [Meilin "Mei" Lee, hasAunt, Lily]
  • A. Lily
    Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
  • B. Lily
    Lily is a pivotal character in the psychological thriller film "Black Swan," serving as a seductive and enigmatic rival whose presence intensifies the protagonist's descent into paranoia and self-destruction.
  • C. Lily
    Lily is a fictional character from the British television sitcom "The Rag Trade," which humorously portrays the lives and conflicts of workers in a small clothing factory.
  • D. Lily
    Lily is a woman romantically involved with Frank Money in Toni Morrison’s novel "Home."
  • E. Lily
    Lily is the central protagonist of the film "Damsels in Distress," around whom the story’s events and character dynamics 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: Lily
Triple: [Meilin "Mei" Lee, hasAunt, Lily]
Generated description
Lily is a supporting character in Pixar's animated film "Turning Red," appearing as one of Meilin "Mei" Lee's aunts in her extended family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lily
Target entity description: Lily is a supporting character in Pixar's animated film "Turning Red," appearing as one of Meilin "Mei" Lee's aunts in her extended family.
  • A. Lily
    Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
  • B. Lily
    Lily is a pivotal character in the psychological thriller film "Black Swan," serving as a seductive and enigmatic rival whose presence intensifies the protagonist's descent into paranoia and self-destruction.
  • C. Lily
    Lily is a woman romantically involved with Frank Money in Toni Morrison’s novel "Home."
  • D. Lily
    Lily is a fictional character from the British television sitcom "The Rag Trade," which humorously portrays the lives and conflicts of workers in a small clothing factory.
  • E. Lily
    Lily is the central protagonist of the film "Damsels in Distress," around whom the story’s events and character dynamics revolve.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d02e4c88190b8286078e90bf913 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15524ec5c8190a330ce5fc16dd11d completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e17d3331788190a9ee03fc4c6ca191 completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1ff5b3d488190a545bee24381d01e completed April 17, 2026, 9:37 a.m.
Created at: April 8, 2026, 9:21 p.m.