Triple

T13594672
Position Surface form Disambiguated ID Type / Status
Subject Lt. Mike Stone E324784 entity
Predicate fullName P16 FINISHED
Object Mike Stone
Mike Stone is a fictional San Francisco police lieutenant and main character from the 1970s television series "The Streets of San Francisco."
 E1048394 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 Stone | Statement: [Lt. Mike Stone, fullName, Mike Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mike Stone
Context triple: [Lt. Mike Stone, fullName, Mike Stone]
  • A. Mike Stone
    Mike Stone was a British record producer and audio engineer known for his work with rock and pop artists in the 1970s and 1980s.
  • B. Steve Gorman
    Steve Gorman is an American drummer best known as a founding and longtime member of the rock band The Black Crowes.
  • C. Marcus Stone
    Marcus Stone was a 19th-century British painter and illustrator known for his work on Victorian novels and historical subjects.
  • D. John Stanier
    John Stanier is a cinematographer best known for his work on major action films such as "Rambo III."
  • E. John Stanier
    John Stanier is an American drummer best known for his powerful, precise playing with the alternative metal band Helmet and later with experimental rock groups like Battles.
  • 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 Stone
Triple: [Lt. Mike Stone, fullName, Mike Stone]
Generated description
Mike Stone is a fictional San Francisco police lieutenant and main character from the 1970s television series "The Streets of San Francisco."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mike Stone
Target entity description: Mike Stone is a fictional San Francisco police lieutenant and main character from the 1970s television series "The Streets of San Francisco."
  • A. Mike Stone
    Mike Stone was a British record producer and audio engineer known for his work with rock and pop artists in the 1970s and 1980s.
  • B. Steve Gorman
    Steve Gorman is an American drummer best known as a founding and longtime member of the rock band The Black Crowes.
  • C. Marcus Stone
    Marcus Stone was a 19th-century British painter and illustrator known for his work on Victorian novels and historical subjects.
  • D. John Stanier
    John Stanier is a cinematographer best known for his work on major action films such as "Rambo III."
  • E. John Stanier
    John Stanier is an American drummer best known for his powerful, precise playing with the alternative metal band Helmet and later with experimental rock groups like Battles.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77643b0348190962bf23a9857edbe completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.