Triple

T11996046
Position Surface form Disambiguated ID Type / Status
Subject Tracey Gold E285531 entity
Predicate appearedIn P795 FINISHED
Object Face of Evil
Face of Evil is a 1996 made-for-television thriller film about a woman whose life is endangered by a deranged look-alike.
E959295 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: Face of Evil | Statement: [Tracey Gold, appearedIn, Face of Evil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Face of Evil
Context triple: [Tracey Gold, appearedIn, Face of Evil]
  • A. Badge of Evil
    Badge of Evil is a 1956 crime novel by Whit Masterson that served as the basis for Orson Welles’s classic film noir "Touch of Evil."
  • B. Eye of the Devil
    Eye of the Devil is a 1966 British-French horror film known for its occult themes and for featuring an early prominent screen role by actress Sharon Tate.
  • C. Evil Angel
    Evil Angel is a prominent American adult film production company known for its influential directors and high-quality, hardcore content.
  • D. Evil Angel
    Evil Angel is a symbolic figure in the Faust legend who tempts and encourages Doctor Faustus toward sin and damnation.
  • E. The Evil
    The Evil is a 1978 American supernatural horror film about a psychologist who opens a cursed mansion that becomes a deadly trap for its occupants.
  • 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: Face of Evil
Triple: [Tracey Gold, appearedIn, Face of Evil]
Generated description
Face of Evil is a 1996 made-for-television thriller film about a woman whose life is endangered by a deranged look-alike.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Face of Evil
Target entity description: Face of Evil is a 1996 made-for-television thriller film about a woman whose life is endangered by a deranged look-alike.
  • A. Badge of Evil
    Badge of Evil is a 1956 crime novel by Whit Masterson that served as the basis for Orson Welles’s classic film noir "Touch of Evil."
  • B. Eye of the Devil
    Eye of the Devil is a 1966 British-French horror film known for its occult themes and for featuring an early prominent screen role by actress Sharon Tate.
  • C. Evil Angel
    Evil Angel is a prominent American adult film production company known for its influential directors and high-quality, hardcore content.
  • D. Evil Angel
    Evil Angel is a symbolic figure in the Faust legend who tempts and encourages Doctor Faustus toward sin and damnation.
  • E. The Evil
    The Evil is a 1978 American supernatural horror film about a psychologist who opens a cursed mansion that becomes a deadly trap for its occupants.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
NEDg Description generation batch_69f48df7790c8190a8e79466f032e86d completed May 1, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69f490dfe4e4819092d7494ba9b807db completed May 1, 2026, 11:39 a.m.
Created at: April 8, 2026, 9:46 p.m.