Triple

T18685459
Position Surface form Disambiguated ID Type / Status
Subject Silent Night (2021 film) E456847 entity
Predicate mainCharacter P1183 FINISHED
Object Simon
Simon is the central protagonist of the 2021 dark comedy-drama film "Silent Night," around whom the story’s apocalyptic Christmas gathering unfolds.
E1337058 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: Simon | Statement: [Silent Night (2021 film), mainCharacter, Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon
Context triple: [Silent Night (2021 film), mainCharacter, Simon]
  • A. Simon
    Simon is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • B. Simon
    Simon is a fictional character from the animated television series "The Seasons."
  • C. Simon
    Simon was one of the nuclear test detonations conducted during the U.S. Operation Upshot–Knothole series in 1953.
  • D. Simon
    Simon is a common surname of English and Jewish origin borne by numerous notable individuals across politics, business, arts, and sciences.
  • E. Simon
    Simon is the central character in Ang Lee's 1993 film "The Wedding Banquet," a Taiwanese American man who enters a sham marriage to appease his traditional parents while secretly living with his male partner in New York.
  • 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: Simon
Triple: [Silent Night (2021 film), mainCharacter, Simon]
Generated description
Simon is the central protagonist of the 2021 dark comedy-drama film "Silent Night," around whom the story’s apocalyptic Christmas gathering unfolds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simon
Target entity description: Simon is the central protagonist of the 2021 dark comedy-drama film "Silent Night," around whom the story’s apocalyptic Christmas gathering unfolds.
  • A. Simon
    Simon is a central character in the British comedy film "Death at a Funeral," involved in the chaotic and farcical events surrounding a dysfunctional family's funeral.
  • B. Simon
    Simon is the central character in Ang Lee's 1993 film "The Wedding Banquet," a Taiwanese American man who enters a sham marriage to appease his traditional parents while secretly living with his male partner in New York.
  • C. Simon
    Simon is a 1980 satirical science-fiction comedy film written and directed by Marshall Brickman, centered on a psychology professor who is tricked into believing he is an alien.
  • D. Simon
    Simon is a fictional character from the animated television series "The Seasons."
  • E. Simon
    Simon is the drag performer alter ego behind Lola in the musical and film "Kinky Boots," revealing the character’s offstage identity and personal life.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2c58188190b906c9ab080a76ff completed April 19, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05235a0d488190a3a5d01822f45e08 completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a05248c12d88190abb947a37b7d180c completed May 14, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a052523e1588190a365dc093d8352a1 completed May 14, 2026, 1:28 a.m.
Created at: April 10, 2026, 11:49 a.m.