Triple

T10803371
Position Surface form Disambiguated ID Type / Status
Subject Mike the Tiger E254899 entity
Predicate hasVersion P455 FINISHED
Object Mike VI
Mike VI was the live Bengal–Siberian tiger who served as Louisiana State University’s official mascot from 2007 to 2016.
 E886581 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 VI | Statement: [Mike the Tiger, hasVersion, Mike VI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mike VI
Context triple: [Mike the Tiger, hasVersion, Mike VI]
  • A. Tony Imi
    Tony Imi was a British cinematographer known for his work on feature films and television, including the drama "International Velvet."
  • B. Michael De Guzman
    Michael De Guzman is an American screenwriter best known for his work on the film "Jaws: The Revenge" and various television movies and series.
  • C. Julian de Guzman
    Julian de Guzman is a retired Canadian midfielder who became one of the national team’s most influential players and the first Canadian to play in Spain’s La Liga.
  • D. Josiah Ng
    Josiah Ng is a Malaysian track cyclist best known as a multiple Olympian and Commonwealth Games medalist in the keirin event.
  • E. Crispin Sorhaindo
    Crispin Sorhaindo was a Dominican politician who served as President of the Commonwealth of Dominica in the 1990s.
  • 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 VI
Triple: [Mike the Tiger, hasVersion, Mike VI]
Generated description
Mike VI was the live Bengal–Siberian tiger who served as Louisiana State University’s official mascot from 2007 to 2016.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mike VI
Target entity description: Mike VI was the live Bengal–Siberian tiger who served as Louisiana State University’s official mascot from 2007 to 2016.
  • A. Tony Imi
    Tony Imi was a British cinematographer known for his work on feature films and television, including the drama "International Velvet."
  • B. Michael De Guzman
    Michael De Guzman is an American screenwriter best known for his work on the film "Jaws: The Revenge" and various television movies and series.
  • C. Julian de Guzman
    Julian de Guzman is a retired Canadian midfielder who became one of the national team’s most influential players and the first Canadian to play in Spain’s La Liga.
  • D. Josiah Ng
    Josiah Ng is a Malaysian track cyclist best known as a multiple Olympian and Commonwealth Games medalist in the keirin event.
  • E. Crispin Sorhaindo
    Crispin Sorhaindo was a Dominican politician who served as President of the Commonwealth of Dominica in the 1990s.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7336feff88190b638b7d62d34da0e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de567a7ea0819088a2fa10f8367d89 completed April 14, 2026, 3 p.m.
NEDg Description generation batch_69de5eaf3cc08190935cb6ddf2020166 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de63a902f4819089845bc6d7469c6b completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:18 p.m.