Triple

T12951381
Position Surface form Disambiguated ID Type / Status
Subject Mickey Smith E309899 entity
Predicate givenName P17 FINISHED
Object Mickey
Mickey is a common diminutive form of the given name Michael, often used as a familiar or informal first name.
E1010622 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: Mickey | Statement: [Mickey Smith, givenName, Mickey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mickey
Context triple: [Mickey Smith, givenName, Mickey]
  • A. Mickey
    Mickey is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by monstrous creatures.
  • B. Mickey
    Mickey is the nickname of Mickey Rivers, a former Major League Baseball center fielder known for his speed and leadoff hitting, especially with the New York Yankees in the late 1970s.
  • C. Mickey
    Mickey is the commonly used nickname of Mickey Leland, an American congressman and humanitarian known for his work on hunger and poverty issues.
  • D. Mickey
    Mickey is the nickname of Gordon "Mickey" Cochrane, a Hall of Fame American Major League Baseball catcher and manager from the early 20th century.
  • E. Mickey
    Mickey is the central protagonist of the 1938 horse-racing drama film "Stablemates," around whom the story’s emotional and narrative arc revolves.
  • 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: Mickey
Triple: [Mickey Smith, givenName, Mickey]
Generated description
Mickey is a common diminutive form of the given name Michael, often used as a familiar or informal first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mickey
Target entity description: Mickey is a common diminutive form of the given name Michael, often used as a familiar or informal first name.
  • A. Mickey
    Mickey is the commonly used nickname of Mickey Leland, an American congressman and humanitarian known for his work on hunger and poverty issues.
  • B. Mickey
    Mickey is the nickname of Mickey Rivers, a former Major League Baseball center fielder known for his speed and leadoff hitting, especially with the New York Yankees in the late 1970s.
  • C. Mickey
    Mickey is the nickname of English actress Mickey Sumner, known for her roles in film and television such as "Frances Ha" and "Snowpiercer."
  • D. Mickey
    Mickey is the nickname of Gordon "Mickey" Cochrane, a Hall of Fame American Major League Baseball catcher and manager from the early 20th century.
  • E. Mickey
    Mickey is the central protagonist of the 1938 horse-racing drama film "Stablemates," around whom the story’s emotional and narrative arc revolves.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1dc4c88190ab27b832d6a7c556 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af7a10f48190b7e0d32725f83fb6 completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:43 p.m.