Triple

T10364578
Position Surface form Disambiguated ID Type / Status
Subject Ben Mezrich E244219 entity
Predicate familyName P18 FINISHED
Object Mezrich
Mezrich is the surname of American author Ben Mezrich, known for his nonfiction books about high-stakes finance, technology, and real-life adventures.
 E858136 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: Mezrich | Statement: [Ben Mezrich, familyName, Mezrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mezrich
Context triple: [Ben Mezrich, familyName, Mezrich]
  • A. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • B. Krommenie
    Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
  • C. Rashbi
    Rashbi is the commonly used acronymic name for Rabbi Shimon bar Yochai, a 2nd-century Talmudic sage and central figure in Jewish mysticism.
  • D. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • E. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • 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: Mezrich
Triple: [Ben Mezrich, familyName, Mezrich]
Generated description
Mezrich is the surname of American author Ben Mezrich, known for his nonfiction books about high-stakes finance, technology, and real-life adventures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mezrich
Target entity description: Mezrich is the surname of American author Ben Mezrich, known for his nonfiction books about high-stakes finance, technology, and real-life adventures.
  • A. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • B. Krommenie
    Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
  • C. Rashbi
    Rashbi is the commonly used acronymic name for Rabbi Shimon bar Yochai, a 2nd-century Talmudic sage and central figure in Jewish mysticism.
  • D. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • E. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e964a53c8190b748e80850e96656 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c2d2748190b871b928d5a094f8 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618fac288190a5da7549e5ccbdf0 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77060331c8190a773a5f9ffadf1d6 completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, noon