Triple

T15949269
Position Surface form Disambiguated ID Type / Status
Subject Runaway (2010 film) E386770 entity
Predicate productionCompany P490 FINISHED
Object VOYR
VOYR is a film production company known for its involvement in the creation of the 2010 movie "Runaway."
E1186556 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: VOYR | Statement: [Runaway (2010 film), productionCompany, VOYR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOYR
Context triple: [Runaway (2010 film), productionCompany, VOYR]
  • A. VOI
    VOI is the ICAO airline designator used to identify Volaris, a Mexican low-cost carrier, in aviation operations and communications.
  • B. VOHY
    VOHY is the ICAO airport code for Begumpet Airport, the former international airport serving Hyderabad, India.
  • C. VOGA
    VOGA is the ICAO airport code assigned to Manohar International Airport in Mopa, Goa, India.
  • D. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • E. Voyeur
    "Voyeur" is a 1981 synth-driven pop song by American singer Kim Carnes, known for its dark, edgy style and follow-up success to her hit "Bette Davis Eyes."
  • 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: VOYR
Triple: [Runaway (2010 film), productionCompany, VOYR]
Generated description
VOYR is a film production company known for its involvement in the creation of the 2010 movie "Runaway."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VOYR
Target entity description: VOYR is a film production company known for its involvement in the creation of the 2010 movie "Runaway."
  • A. VOI
    VOI is the ICAO airline designator used to identify Volaris, a Mexican low-cost carrier, in aviation operations and communications.
  • B. VOHY
    VOHY is the ICAO airport code for Begumpet Airport, the former international airport serving Hyderabad, India.
  • C. VOGA
    VOGA is the ICAO airport code assigned to Manohar International Airport in Mopa, Goa, India.
  • D. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • E. Voyeur
    "Voyeur" is a 1981 synth-driven pop song by American singer Kim Carnes, known for its dark, edgy style and follow-up success to her hit "Bette Davis Eyes."
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf61b2ec81909c0f32613bb91a82 completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfdfe58c8190b5964b6f5812ef65 completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.