Triple

T14666966
Position Surface form Disambiguated ID Type / Status
Subject Coco E344401 entity
Predicate hasPart P35 FINISHED
Object Magic
Magic is a 2014 Japanese anime film directed by Gorō Miyazaki that blends fantasy elements with a whimsical, family-friendly adventure.
E1112880 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: Magic | Statement: [Coco, hasPart, Magic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magic
Context triple: [Coco, hasPart, Magic]
  • A. Magic
    "Magic" is a 1980 soft rock hit by Olivia Newton-John, best known for its dreamy production and chart-topping success from the soundtrack of the film *Xanadu*.
  • B. Magic
    Magic is an American rapper known for his work with No Limit Records in the late 1990s and early 2000s, contributing to the Southern hip hop scene.
  • C. Magic
    "Magic" is a jazz composition best known through its recording by the ensemble April in Paris.
  • D. Magic
    Magic is a professional NBA basketball team based in Orlando, Florida, known as the Orlando Magic.
  • E. Magic
    "Magic" is a 2022 hip-hop single by Vince Staples featuring Mustard, known for its smooth, laid-back production and reflective lyrics about success and street life.
  • 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: Magic
Triple: [Coco, hasPart, Magic]
Generated description
Magic is a 2014 Japanese anime film directed by Gorō Miyazaki that blends fantasy elements with a whimsical, family-friendly adventure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magic
Target entity description: Magic is a 2014 Japanese anime film directed by Gorō Miyazaki that blends fantasy elements with a whimsical, family-friendly adventure.
  • A. Magic
    "Magic" is a song by the Japanese rock band Ghost Stories, released as the lead single from one of their music projects.
  • B. Magic
    Magic is a 1978 psychological horror film about a troubled ventriloquist whose relationship with his sinister dummy spirals into violence, featuring a celebrated performance by Anthony Hopkins.
  • C. Magic
    "Magic" is a 2014 alternative rock single by British band Coldplay, known for its minimalist production and introspective lyrics about love and loss.
  • D. Magic
    "Magic" is a 1980 soft rock hit by Olivia Newton-John, best known for its dreamy production and chart-topping success from the soundtrack of the film *Xanadu*.
  • E. Magic
    "Magic" is a 1974 soft rock song by the Scottish band Pilot, best known for its catchy melody and enduring popularity on classic rock and pop radio.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e63e6c8190ba67776719f2ff0c completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdda3510bc8190b12783ded11b5796 completed May 8, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69fddaa56f4c8190ba56af6a7a56a201 completed May 8, 2026, 12:44 p.m.
Created at: April 10, 2026, 1:27 a.m.