Triple

T8458515
Position Surface form Disambiguated ID Type / Status
Subject Mark Ruffalo E199979 entity
Predicate spouse P13 FINISHED
Object Sunrise Coigney
Sunrise Coigney is an American actress and boutique shop owner best known for her work in independent films and for being married to actor Mark Ruffalo.
 E735253 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: Sunrise Coigney | Statement: [Mark Ruffalo, spouse, Sunrise Coigney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sunrise Coigney
Context triple: [Mark Ruffalo, spouse, Sunrise Coigney]
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Considine
    Considine is a surname of Irish origin borne by various notable individuals in fields such as politics, entertainment, and sports.
  • C. Ogden Rood
    Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
  • D. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • E. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • 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: Sunrise Coigney
Triple: [Mark Ruffalo, spouse, Sunrise Coigney]
Generated description
Sunrise Coigney is an American actress and boutique shop owner best known for her work in independent films and for being married to actor Mark Ruffalo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sunrise Coigney
Target entity description: Sunrise Coigney is an American actress and boutique shop owner best known for her work in independent films and for being married to actor Mark Ruffalo.
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Considine
    Considine is a surname of Irish origin borne by various notable individuals in fields such as politics, entertainment, and sports.
  • C. Ogden Rood
    Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
  • D. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • E. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49064f881909391d565b97e9886 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dea01c481909496ebfca4e9916e completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce20130e9c81908c13e571ca8a6ad4 completed April 2, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69ce209338b48190ba8375200a5529bd completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:10 p.m.