Triple

T13464692
Position Surface form Disambiguated ID Type / Status
Subject Robert Michael Bellotti E311464 entity
Predicate nickname P55 FINISHED
Object Mike
Mike is the commonly used nickname for Robert Michael Bellotti.
E1042752 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: [Robert Michael Bellotti, nickname, Mike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike
Context triple: [Robert Michael Bellotti, nickname, Mike]
  • A. Mike
    Mike is a character in Terrence McNally’s play "The Lisbon Traviata," which explores themes of friendship, obsession, and gay relationships.
  • B. Mike
    Mike is the young boy protagonist of the 1992 family adventure film "Radio Flyer," which centers on his imaginative efforts to escape a troubled home life with his brother.
  • C. Mike
    Mike is the central con artist protagonist in David Mamet’s 1987 psychological thriller film "House of Games."
  • D. Mike
    Mike is the nickname of the fictional character Macaulay "Mike" Connor.
  • E. Michael
    Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
  • 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: [Robert Michael Bellotti, nickname, Mike]
Generated description
Mike is the commonly used nickname for Robert Michael Bellotti.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike
Target entity description: Mike is the commonly used nickname for Robert Michael Bellotti.
  • A. Mike
    Mike is a character in Terrence McNally’s play "The Lisbon Traviata," which explores themes of friendship, obsession, and gay relationships.
  • B. Mike
    Mike is the young boy protagonist of the 1992 family adventure film "Radio Flyer," which centers on his imaginative efforts to escape a troubled home life with his brother.
  • C. Mike
    Mike is the central con artist protagonist in David Mamet’s 1987 psychological thriller film "House of Games."
  • D. Mike
    Mike is the nickname of the fictional character Macaulay "Mike" Connor.
  • E. Michael
    Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0f1830819085700b4521e44678 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746282318819090e47c324807dc1e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f7494fab548190bb187af742ed176f completed May 3, 2026, 1:10 p.m.
NED2 Entity disambiguation (via description) batch_69f749ab11048190a85f3114eecd19df completed May 3, 2026, 1:12 p.m.
Created at: April 9, 2026, 9:41 p.m.