Triple

T12562594
Position Surface form Disambiguated ID Type / Status
Subject Sybase E295385 entity
Predicate foundedBy P104 FINISHED
Object Mark Hoffman
Mark Hoffman is an American technology executive best known as a co-founder and early leader of the database software company Sybase.
 E991182 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: Mark Hoffman | Statement: [Sybase, foundedBy, Mark Hoffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Hoffman
Context triple: [Sybase, foundedBy, Mark Hoffman]
  • A. Mark Hoffman
    Mark Hoffman is a fictional serial killer and primary antagonist in the "Saw" horror film franchise, known for continuing Jigsaw’s deadly games.
  • B. Gary Hoffman
    Gary Hoffman is an acclaimed American cellist renowned for his rich tone, expressive interpretations, and international solo and chamber music performances.
  • C. David Hoffman
    David Hoffman is a common personal name shared by multiple notable individuals across fields such as law, politics, academia, and the arts.
  • D. Don Harvey
    Don Harvey is an American character actor known for his intense supporting roles in films such as the Vietnam War drama "Casualties of War."
  • E. Michael Bates
    Michael Bates was a British character actor known for his roles in films and television, including a notable appearance in the war epic "Patton" (1970).
  • 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: Mark Hoffman
Triple: [Sybase, foundedBy, Mark Hoffman]
Generated description
Mark Hoffman is an American technology executive best known as a co-founder and early leader of the database software company Sybase.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Hoffman
Target entity description: Mark Hoffman is an American technology executive best known as a co-founder and early leader of the database software company Sybase.
  • A. Mark Hoffman
    Mark Hoffman is a fictional serial killer and primary antagonist in the "Saw" horror film franchise, known for continuing Jigsaw’s deadly games.
  • B. Gary Hoffman
    Gary Hoffman is an acclaimed American cellist renowned for his rich tone, expressive interpretations, and international solo and chamber music performances.
  • C. David Hoffman
    David Hoffman is a common personal name shared by multiple notable individuals across fields such as law, politics, academia, and the arts.
  • D. Don Harvey
    Don Harvey is an American character actor known for his intense supporting roles in films such as the Vietnam War drama "Casualties of War."
  • E. Michael Bates
    Michael Bates was a British character actor known for his roles in films and television, including a notable appearance in the war epic "Patton" (1970).
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558da7e0819086860bfaf394e2d8 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f65a0f1b2881908a7cb21c9de1a5c2 completed May 2, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69f65ad4424c8190933759cca5d73c22 completed May 2, 2026, 8:13 p.m.
Created at: April 8, 2026, 11:48 p.m.