Triple

T21900863
Position Surface form Disambiguated ID Type / Status
Subject Mike Sherman E540803 entity
Predicate givenName P17 FINISHED
Object Mike
Mike is a masculine given name, typically a short form of Michael, commonly used in English-speaking countries.
 E1059131 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: Mike | Statement: [Mike Sherman, givenName, Mike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mike
Context triple: [Mike Sherman, givenName, Mike]
  • A. Mike
    Mike is the nickname of the fictional character Macaulay "Mike" Connor.
  • B. Mike
    Mike is the code name for Ivy Mike, the first full-scale test of a thermonuclear (hydrogen) bomb conducted by the United States in 1952.
  • C. Mike
    Mike is the given name of American folk musician and folklorist Mike Seeger, known for his work in preserving traditional American music.
  • D. Mike
    Mike is the given name of American actor Mike Kellin, known for his character roles in film, television, and theater during the mid-20th century.
  • E. Mike
    Mike is the self-aware lunar supercomputer that becomes a central character and driving force behind the revolution in Robert A. Heinlein’s science fiction novel "The Moon Is a Harsh Mistress."
  • 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: Mike
Triple: [Mike Sherman, givenName, Mike]
Generated description
Mike is a masculine given name, typically a short form of Michael, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mike
Target entity description: Mike is a masculine given name, typically a short form of Michael, commonly used in English-speaking countries.
  • A. Mike chosen
    Mike is a common masculine given name, often used as a short form of Michael.
  • B. Mike
    Mike is the commonly used nickname for Robert Michael Bellotti.
  • C. Mike
    Mike is the given name of American actor Mike Kellin, known for his character roles in film, television, and theater during the mid-20th century.
  • D. Mike
    Mike is the commonly used first name of Mike D’Antoni, an American professional basketball coach and former player known for his innovative, fast-paced offensive systems in the NBA.
  • E. Mike
    Mike is the given name of American folk musician and folklorist Mike Seeger, known for his work in preserving traditional American music.
  • F. None of above.

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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fcb18748190a21071c122b7e6d5 completed April 28, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a5a04ffb88190b60422329c11fe58 completed May 18, 2026, 12:15 a.m.
NEDg Description generation batch_6a0a5dc336448190af4ef12bd04f2254 completed May 18, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5ea822cc8190825f183896a3e1c4 completed May 18, 2026, 12:34 a.m.
Created at: April 16, 2026, 7:07 p.m.