Triple

T19453768
Position Surface form Disambiguated ID Type / Status
Subject Hidden (2015 film) E486682 entity
Predicate mainCharacter P1183 FINISHED
Object Ray
Ray is the central protagonist of the 2015 thriller film "Hidden," around whom the story’s tense, post-apocalyptic survival narrative revolves.
E1377638 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: Ray | Statement: [Hidden (2015 film), mainCharacter, Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray
Context triple: [Hidden (2015 film), mainCharacter, Ray]
  • A. Ray
    Ray is an ancient city near modern-day Tehran in Iran that served as a significant political and cultural center in various Persian empires.
  • B. Ray
    Ray is the optimistic Cajun firefly from Disney’s *The Princess and the Frog*, known for his devotion to his love “Evangeline” and his role in aiding Tiana and Naveen.
  • C. Ray
    Ray is the romantic, Cajun firefly character from Disney’s animated film "The Princess and the Frog," known for his heartfelt song "Ma Belle Evangeline."
  • D. Ray
    Ray is the affectionate nickname of Ray Stantz, the enthusiastic and nerdy parapsychologist from the Ghostbusters franchise.
  • E. Ray
    Ray is the middle name of American country music singer and actor Kenneth Ray Rogers, better known as Kenny Rogers.
  • 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: Ray
Triple: [Hidden (2015 film), mainCharacter, Ray]
Generated description
Ray is the central protagonist of the 2015 thriller film "Hidden," around whom the story’s tense, post-apocalyptic survival narrative revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ray
Target entity description: Ray is the central protagonist of the 2015 thriller film "Hidden," around whom the story’s tense, post-apocalyptic survival narrative revolves.
  • A. Ray
    Ray is a central character in the neo-noir crime film "Blood Simple," entangled in a web of betrayal, murder, and moral ambiguity.
  • B. Ray
    Ray is the protagonist of the novel "The Keep," around whom the story’s central psychological and narrative tensions revolve.
  • C. Ray
    Ray is the guilt-ridden hitman protagonist of the dark comedy crime film "In Bruges," portrayed by Colin Farrell.
  • D. Ray
    Ray is the optimistic Cajun firefly from Disney’s *The Princess and the Frog*, known for his devotion to his love “Evangeline” and his role in aiding Tiana and Naveen.
  • E. Ray
    Ray is the affectionate nickname of Ray Stantz, the enthusiastic and nerdy parapsychologist from the Ghostbusters franchise.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6339407a08190a3e0213bfbb4df3d completed April 20, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b33395081909ac7e5406843da5c completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073ba7f03481908ed5c06a46c0a029 completed May 15, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_6a073cae2df481908ed9a0ee0bc14fd5 completed May 15, 2026, 3:33 p.m.
Created at: April 10, 2026, 1:38 p.m.