Triple

T38426097
Position Surface form Disambiguated ID Type / Status
Subject Manila Metropolitan Theater E903362 entity
Predicate designerOfStainedGlass P165170 FINISHED
Object Kraut Art Glass
Kraut Art Glass is a stained glass studio known for creating the decorative glass artworks featured in the historic Manila Metropolitan Theater.
E2269874 NE FINISHED

How this triple was built (3 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: Kraut Art Glass | Statement: [Manila Metropolitan Theater, designerOfStainedGlass, Kraut Art Glass]
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: Kraut Art Glass
Triple: [Manila Metropolitan Theater, designerOfStainedGlass, Kraut Art Glass]
Generated description
Kraut Art Glass is a stained glass studio known for creating the decorative glass artworks featured in the historic Manila Metropolitan Theater.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designerOfStainedGlass
Context triple: [Manila Metropolitan Theater, designerOfStainedGlass, Kraut Art Glass]
  • A. stainedGlassArtist
    Indicates that one entity is a stained glass artist who creates or designs stained glass works in relation to another entity.
  • B. hasStainedGlassManufacturer
    Indicates that one entity serves as the manufacturer responsible for producing the stained glass associated with another entity.
  • C. hasStainedGlass
    Indicates that one entity possesses or features stained glass as part of its structure or design.
  • D. decorationDesigner chosen
    Indicates that one entity is the person or agent responsible for designing the decoration of another entity.
  • E. designerOccupation
    Indicates that one entity serves as the professional designer or design specialist for another entity.
  • F. None of above.

Provenance (6 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_69f76e67e4fc8190a7d08dfe9a8af998 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ffa15d53208190ab8574d6c7913e18 completed May 9, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c28e35008190b537dfe62747a968 completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c3c4ef1c8190a88b7bf1a2b782fa completed June 29, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_6a41c6066520819087dbfcda0751628b completed June 29, 2026, 1:10 a.m.
PD Predicate disambiguation batch_69ff9eee681c81909434e79c627cb528 completed May 9, 2026, 8:54 p.m.
Created at: May 3, 2026, 4:31 p.m.