Triple

T12369508
Position Surface form Disambiguated ID Type / Status
Subject Edith Sommer E294963 entity
Predicate notableWork P4 FINISHED
Object Parrish
Parrish is a 1961 American drama film, based on a novel by Mildred Savage, about a young man navigating love and ambition on Connecticut tobacco farms.
 E979020 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: Parrish | Statement: [Edith Sommer, notableWork, Parrish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parrish
Context triple: [Edith Sommer, notableWork, Parrish]
  • A. Parrish
    Parrish is the surname of Kehlani, an American R&B singer, songwriter, and dancer known for her emotionally candid music.
  • B. Parrtown
    Parrtown was the original name of the Loyalist settlement that later became the city of Saint John in New Brunswick, Canada.
  • C. Parkside
    Parkside is a primarily residential neighborhood on the western side of San Francisco, known for its quiet streets, proximity to the ocean, and access to public transit.
  • D. Parkside
    Parkside is a residential suburb located within the coastal city of Timaru in the South Island of New Zealand.
  • E. Parkside
    Parkside is a central area and street in Cambridge, England, known for bordering the historic Parker’s Piece common and providing access to key city amenities and transport links.
  • 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: Parrish
Triple: [Edith Sommer, notableWork, Parrish]
Generated description
Parrish is a 1961 American drama film, based on a novel by Mildred Savage, about a young man navigating love and ambition on Connecticut tobacco farms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parrish
Target entity description: Parrish is a 1961 American drama film, based on a novel by Mildred Savage, about a young man navigating love and ambition on Connecticut tobacco farms.
  • A. Parrish
    Parrish is the surname of Kehlani, an American R&B singer, songwriter, and dancer known for her emotionally candid music.
  • B. Parrtown
    Parrtown was the original name of the Loyalist settlement that later became the city of Saint John in New Brunswick, Canada.
  • C. Parkside
    Parkside is a primarily residential neighborhood on the western side of San Francisco, known for its quiet streets, proximity to the ocean, and access to public transit.
  • D. Parkside
    Parkside is a residential suburb located within the coastal city of Timaru in the South Island of New Zealand.
  • E. Parkside
    Parkside is a central area and street in Cambridge, England, known for bordering the historic Parker’s Piece common and providing access to key city amenities and transport links.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abdad1c8190b083791d60138f2a completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d51ab8081909c6f534051019dca completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.