Triple

T12992165
Position Surface form Disambiguated ID Type / Status
Subject Michael Apted E321931 entity
Predicate knownFor P22 FINISHED
Object Enigma E505382 NE FINISHED

How this triple was built (2 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: [Michael Apted, knownFor, Enigma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enigma
Context triple: [Michael Apted, knownFor, Enigma]
  • A. Enigma
    Enigma is a science fiction novel by Michael Kube-McDowell that explores complex themes of human identity, communication, and first contact.
  • B. Enigma chosen
    Enigma is a 1982 Cold War spy thriller film involving codebreaking and espionage, directed by Jeannot Szwarc.
  • C. Enigma
    Enigma is a stage play by Tom Stoppard that characteristically blends intellectual intrigue, wordplay, and complex human relationships.
  • D. The Black Box
    The Black Box is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch as he reopens a decades-old murder case first encountered during the 1992 Los Angeles riots.
  • E. The Unknown
    The Unknown is a 1927 silent horror film directed by Tod Browning, renowned for Lon Chaney’s intense performance as a criminal posing as an armless circus performer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:44 p.m.