Triple

T9615685
Position Surface form Disambiguated ID Type / Status
Subject Black Maria replica E232212 entity
Predicate basedOn P98 FINISHED
Object Black Maria
Black Maria was Thomas Edison's pioneering early American film studio, often considered one of the first motion picture production facilities in the world.
 E810488 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: Black Maria | Statement: [Black Maria replica, basedOn, Black Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Black Maria
Context triple: [Black Maria replica, basedOn, Black Maria]
  • A. White Cargo
    White Cargo is a 1942 Hollywood drama film best known for starring Hedy Lamarr in one of her most iconic and controversial roles.
  • B. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • C. Saide
    Saide is a given name that serves as an alternative spelling of the more common name Sadie.
  • D. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • E. Henrietta
    Henrietta is a suburban community in western New York State, located near Rochester within the Rust Belt region along the Interstate 90 corridor.
  • 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: Black Maria
Triple: [Black Maria replica, basedOn, Black Maria]
Generated description
Black Maria was Thomas Edison's pioneering early American film studio, often considered one of the first motion picture production facilities in the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Black Maria
Target entity description: Black Maria was Thomas Edison's pioneering early American film studio, often considered one of the first motion picture production facilities in the world.
  • A. White Cargo
    White Cargo is a 1942 Hollywood drama film best known for starring Hedy Lamarr in one of her most iconic and controversial roles.
  • B. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • C. Saide
    Saide is a given name that serves as an alternative spelling of the more common name Sadie.
  • D. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • E. Henrietta
    Henrietta is a suburban community in western New York State, located near Rochester within the Rust Belt region along the Interstate 90 corridor.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aabb6b88190b53547db885e0129 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1795e7be08190a088e49a79251570 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17b33ba6c8190a4d08d29ea6c7b86 completed April 4, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_69d17bb23b68819083a54ff8a19f741c completed April 4, 2026, 8:59 p.m.
Created at: March 30, 2026, 8:09 p.m.