Triple

T23455478
Position Surface form Disambiguated ID Type / Status
Subject Catalina Sandino Moreno E567910 entity
Predicate film P9968 FINISHED
Object Magic Magic
Magic Magic is a psychological horror film set in rural Chile that follows a young woman’s unsettling mental unraveling during a remote vacation.
E1586693 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 Magic | Statement: [Catalina Sandino Moreno, film, Magic Magic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magic Magic
Context triple: [Catalina Sandino Moreno, film, Magic Magic]
  • A. Magic!
    Magic! is a Canadian reggae fusion band best known for their international hit single "Rude."
  • B. Strange Magic
    Strange Magic is a popular 1975 rock song by the British band Electric Light Orchestra, known for its lush orchestration and dreamy, melodic style.
  • C. Something Magic
    Something Magic is a 1977 studio album by British rock band Procol Harum, known for its blend of progressive rock and symphonic elements.
  • D. Magic Oh Magic
    "Magic Oh Magic" is a popular Italian song performed by singer and actress Romina Power, known from her musical partnership with Al Bano.
  • E. 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.
  • 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 Magic
Triple: [Catalina Sandino Moreno, film, Magic Magic]
Generated description
Magic Magic is a psychological horror film set in rural Chile that follows a young woman’s unsettling mental unraveling during a remote vacation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magic Magic
Target entity description: Magic Magic is a psychological horror film set in rural Chile that follows a young woman’s unsettling mental unraveling during a remote vacation.
  • A. Magic!
    Magic! is a Canadian reggae fusion band best known for their international hit single "Rude."
  • B. Strange Magic
    Strange Magic is a popular 1975 rock song by the British band Electric Light Orchestra, known for its lush orchestration and dreamy, melodic style.
  • C. Something Magic
    Something Magic is a 1977 studio album by British rock band Procol Harum, known for its blend of progressive rock and symphonic elements.
  • D. Magic Oh Magic
    "Magic Oh Magic" is a popular Italian song performed by singer and actress Romina Power, known from her musical partnership with Al Bano.
  • E. 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.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a696e6c48190a7159292cfe3362f completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67c3bda88190b1f16a7cc21c1a93 completed May 19, 2026, 1:38 p.m.
NEDg Description generation batch_6a0c7218a358819082d8b19b57b61013 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76ed37b08190af81b4ae2dc7c028 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:53 p.m.