Triple

T20208323
Position Surface form Disambiguated ID Type / Status
Subject Frank Peterson E493416 entity
Predicate associatedAct P37 FINISHED
Object Enigma
Enigma is a German musical project founded by Michael Cretu, known for its atmospheric fusion of electronic, ambient, and world music that gained worldwide popularity in the 1990s.
E1361099 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: Enigma | Statement: [Frank Peterson, associatedAct, Enigma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enigma
Context triple: [Frank Peterson, associatedAct, Enigma]
  • A. Enigma
    Enigma is a 1982 Cold War spy thriller film involving codebreaking and espionage, directed by Jeannot Szwarc.
  • B. Enigma
    Enigma is a stage play by Tom Stoppard that characteristically blends intellectual intrigue, wordplay, and complex human relationships.
  • C. Enigma
    Enigma is a science fiction novel by Michael Kube-McDowell that explores complex themes of human identity, communication, and first contact.
  • D. Enigma
    Enigma is a 2001 British World War II thriller film about codebreakers at Bletchley Park working to crack Nazi naval ciphers.
  • E. Enigma
    Enigma is a surreal, psychologically driven comic book miniseries that deconstructs superhero tropes and identity, written by Peter Milligan and originally published by Vertigo.
  • 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: Enigma
Triple: [Frank Peterson, associatedAct, Enigma]
Generated description
Enigma is a German musical project founded by Michael Cretu, known for its atmospheric fusion of electronic, ambient, and world music that gained worldwide popularity in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Enigma
Target entity description: Enigma is a German musical project founded by Michael Cretu, known for its atmospheric fusion of electronic, ambient, and world music that gained worldwide popularity in the 1990s.
  • A. Enigma chosen
    Enigma is a musical project known for its atmospheric blend of New Age, electronic, and world music, often featuring Gregorian chants and ethereal soundscapes.
  • B. Enigma
    Enigma is a 1982 Cold War spy thriller film involving codebreaking and espionage, directed by Jeannot Szwarc.
  • C. Enigma
    Enigma is a 2001 British World War II thriller film about codebreakers at Bletchley Park working to crack Nazi naval ciphers.
  • D. Enigma
    Enigma is a surreal, psychologically driven comic book miniseries that deconstructs superhero tropes and identity, written by Peter Milligan and originally published by Vertigo.
  • E. Enigma
    Enigma is a science fiction novel by Michael Kube-McDowell that explores complex themes of human identity, communication, and first contact.
  • F. None of above.

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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d94999c8190b67051cb0acea213 completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843eeb37881908e906fb27096794f completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a0844b2ef688190908b9ad5cf554907 completed May 16, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0845e241048190ba7fb657d4dca3d7 completed May 16, 2026, 10:24 a.m.
Created at: April 11, 2026, 11:38 p.m.