Triple

T5154926
Position Surface form Disambiguated ID Type / Status
Subject Sadie Sink E116285 entity
Predicate familyName P18 FINISHED
Object Sink
Sink is a common English surname shared by individuals such as American actress Sadie Sink.
 E498487 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: Sink | Statement: [Sadie Sink, familyName, Sink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sink
Context triple: [Sadie Sink, familyName, Sink]
  • A. River Suck
    River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
  • B. Scour
    Scour was a late-1990s peer-to-peer file-sharing and multimedia search company co-founded by Travis Kalanick that became an early high-profile target of copyright infringement lawsuits.
  • C. Deep Sea
    Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
  • D. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • E. Hsinking
    Hsinking was the name given to Changchun when it served as the capital of the Japanese puppet state of Manchukuo in the early 20th century.
  • 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: Sink
Triple: [Sadie Sink, familyName, Sink]
Generated description
Sink is a common English surname shared by individuals such as American actress Sadie Sink.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sink
Target entity description: Sink is a common English surname shared by individuals such as American actress Sadie Sink.
  • A. River Suck
    River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
  • B. Scour
    Scour was a late-1990s peer-to-peer file-sharing and multimedia search company co-founded by Travis Kalanick that became an early high-profile target of copyright infringement lawsuits.
  • C. Deep Sea
    Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
  • D. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • E. Hsinking
    Hsinking was the name given to Changchun when it served as the capital of the Japanese puppet state of Manchukuo in the early 20th century.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78ddb01081909457ff4208eac4d7 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed00e333881908487be6958e5133c completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed358a1248190b97227404b3f2b31 completed March 21, 2026, 5:20 p.m.
NED2 Entity disambiguation (via description) batch_69bed3c470e48190998cacf9c0b42448 completed March 21, 2026, 5:22 p.m.
Created at: March 20, 2026, 1:44 p.m.