Triple

T9720655
Position Surface form Disambiguated ID Type / Status
Subject Mike Vido E235456 entity
Predicate hasName P744 FINISHED
Object Mike Vido
Mike Vido is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
E816403 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 Vido | Statement: [Mike Vido, hasName, Mike Vido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Vido
Context triple: [Mike Vido, hasName, Mike Vido]
  • A. Mike Vido
    Mike Vido is the protagonist of the film "Once a Thief," around whom the story’s central heist and criminal escapades revolve.
  • B. Mitch Pileggi
    Mitch Pileggi is an American actor best known for his long-running role as FBI Assistant Director Walter Skinner on the television series "The X-Files."
  • C. Mike Montemerlo
    Mike Montemerlo is a roboticist and computer scientist known for his work on autonomous vehicles as a key member of Stanford's pioneering self-driving car efforts.
  • D. Mike Schafer
    Mike Schafer is a longtime head coach of the Cornell Big Red men's ice hockey team, known for leading the program to sustained success and multiple NCAA tournament appearances.
  • E. Thomas Kostura
    Thomas Kostura is an individual known for being a plaintiff in the landmark same-sex marriage recognition case Tanco v. Haslam in Tennessee.
  • 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 Vido
Triple: [Mike Vido, hasName, Mike Vido]
Generated description
Mike Vido is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike Vido
Target entity description: Mike Vido is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • A. Mike Vido
    Mike Vido is the protagonist of the film "Once a Thief," around whom the story’s central heist and criminal escapades revolve.
  • B. Mitch Pileggi
    Mitch Pileggi is an American actor best known for his long-running role as FBI Assistant Director Walter Skinner on the television series "The X-Files."
  • C. Mike Montemerlo
    Mike Montemerlo is a roboticist and computer scientist known for his work on autonomous vehicles as a key member of Stanford's pioneering self-driving car efforts.
  • D. Mike Schafer
    Mike Schafer is a longtime head coach of the Cornell Big Red men's ice hockey team, known for leading the program to sustained success and multiple NCAA tournament appearances.
  • E. Thomas Kostura
    Thomas Kostura is an individual known for being a plaintiff in the landmark same-sex marriage recognition case Tanco v. Haslam in Tennessee.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e419c2c8190b325d5fd692c6000 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fa130548190ae729487b90fa8a7 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a0b4dbf8819097e38c253327fc10 completed April 4, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69d1a172ad848190a76f95c4937689d7 completed April 4, 2026, 11:40 p.m.
Created at: March 30, 2026, 8:20 p.m.