Triple

T9801120
Position Surface form Disambiguated ID Type / Status
Subject Mickey Rourke E237839 entity
Predicate familyName P18 FINISHED
Object Rourke
Rourke is the surname of American actor and former boxer Mickey Rourke, known for his intense performances in films such as "The Wrestler" and "Sin City."
E822163 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: Rourke | Statement: [Mickey Rourke, familyName, Rourke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rourke
Context triple: [Mickey Rourke, familyName, Rourke]
  • A. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • B. Dugan
    Dugan is a surname and given name of Irish origin, commonly used in English-speaking countries.
  • C. Braugher
    Braugher is the surname of Andre Braugher, an acclaimed American actor known for his roles in "Homicide: Life on the Street" and "Brooklyn Nine-Nine."
  • D. Rocco
    Rocco is a supporting character in *The Boondock Saints* who becomes an ally and accomplice to the vigilante brothers Murphy and Connor MacManus.
  • E. Rocco
    Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
  • 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: Rourke
Triple: [Mickey Rourke, familyName, Rourke]
Generated description
Rourke is the surname of American actor and former boxer Mickey Rourke, known for his intense performances in films such as "The Wrestler" and "Sin City."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rourke
Target entity description: Rourke is the surname of American actor and former boxer Mickey Rourke, known for his intense performances in films such as "The Wrestler" and "Sin City."
  • A. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • B. Dugan
    Dugan is a surname and given name of Irish origin, commonly used in English-speaking countries.
  • C. Braugher
    Braugher is the surname of Andre Braugher, an acclaimed American actor known for his roles in "Homicide: Life on the Street" and "Brooklyn Nine-Nine."
  • D. Rocco
    Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
  • E. Rocco
    Rocco is a supporting character in *The Boondock Saints* who becomes an ally and accomplice to the vigilante brothers Murphy and Connor MacManus.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c4fc4cc88190b020f672b9f9ba27 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:29 p.m.