Triple

T7494666
Position Surface form Disambiguated ID Type / Status
Subject Tron E177092 entity
Predicate visualEffectsCompany P3489 FINISHED
Object MAGI
MAGI was a pioneering computer graphics company known for creating some of the earliest 3D CGI effects in film, most notably for Disney’s 1982 movie "Tron."
 E668488 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: MAGI | Statement: [Tron, visualEffectsCompany, MAGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAGI
Context triple: [Tron, visualEffectsCompany, MAGI]
  • A. Magi
    The Magi are the wise men or kings from the East in the New Testament who visit the infant Jesus, traditionally bearing gifts of gold, frankincense, and myrrh.
  • B. The Magic
    The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
  • C. La Maga
    La Maga is a mysterious, free-spirited woman who embodies emotional intuition and existential uncertainty in Julio Cortázar’s novel "Rayuela" ("Hopscotch").
  • D. Magia
    Magia is the first studio album by Colombian singer Shakira, recorded when she was a teenager and showcasing her early pop and Latin music style.
  • E. El Mago
    El Mago is the nickname of Argentine former professional tennis player Guillermo Coria, renowned for his exceptional clay-court skills and speed.
  • 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: MAGI
Triple: [Tron, visualEffectsCompany, MAGI]
Generated description
MAGI was a pioneering computer graphics company known for creating some of the earliest 3D CGI effects in film, most notably for Disney’s 1982 movie "Tron."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAGI
Target entity description: MAGI was a pioneering computer graphics company known for creating some of the earliest 3D CGI effects in film, most notably for Disney’s 1982 movie "Tron."
  • A. Magi
    The Magi are the wise men or kings from the East in the New Testament who visit the infant Jesus, traditionally bearing gifts of gold, frankincense, and myrrh.
  • B. The Magic
    The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
  • C. La Maga
    La Maga is a mysterious, free-spirited woman who embodies emotional intuition and existential uncertainty in Julio Cortázar’s novel "Rayuela" ("Hopscotch").
  • D. Magia
    Magia is the first studio album by Colombian singer Shakira, recorded when she was a teenager and showcasing her early pop and Latin music style.
  • E. El Mago
    El Mago is the nickname of Argentine former professional tennis player Guillermo Coria, renowned for his exceptional clay-court skills and speed.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57b5b4c8190ab839e6a98ee86ed completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c819f00819087fef27e4f4fdc1c completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83ddda5688190be1ec69f23671f60 completed March 28, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69c83e42b0048190b1abd8ae99c97e38 completed March 28, 2026, 8:46 p.m.
Created at: March 27, 2026, 3:43 p.m.