Triple

T12768342
Position Surface form Disambiguated ID Type / Status
Subject Weitz E305181 entity
Predicate hasNotableBearer P458 FINISHED
Object Eric Weitz
Eric Weitz was a prominent historian known for his work on modern German and European history, genocide, and human rights.
 E1007300 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: Eric Weitz | Statement: [Weitz, hasNotableBearer, Eric Weitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eric Weitz
Context triple: [Weitz, hasNotableBearer, Eric Weitz]
  • A. Bruce Weitz
    Bruce Weitz is an American actor best known for his Emmy-winning role as the eccentric detective Mick Belker on the television series "Hill Street Blues."
  • B. Michael Seitzman
    Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
  • C. Lee Zahler
    Lee Zahler was an American film composer and musical director known for scoring numerous serials and B-movies during the 1930s and 1940s.
  • D. Jeff Weitz
    Jeff Weitz is a Canadian hematologist and thrombosis researcher known for his influential work on anticoagulant therapy and blood clotting disorders.
  • E. John Seitz
    John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
  • 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: Eric Weitz
Triple: [Weitz, hasNotableBearer, Eric Weitz]
Generated description
Eric Weitz was a prominent historian known for his work on modern German and European history, genocide, and human rights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eric Weitz
Target entity description: Eric Weitz was a prominent historian known for his work on modern German and European history, genocide, and human rights.
  • A. Bruce Weitz
    Bruce Weitz is an American actor best known for his Emmy-winning role as the eccentric detective Mick Belker on the television series "Hill Street Blues."
  • B. Michael Seitzman
    Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
  • C. Lee Zahler
    Lee Zahler was an American film composer and musical director known for scoring numerous serials and B-movies during the 1930s and 1940s.
  • D. Jeff Weitz
    Jeff Weitz is a Canadian hematologist and thrombosis researcher known for his influential work on anticoagulant therapy and blood clotting disorders.
  • E. John Seitz
    John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b90ae688190b22e3a68d27b54c5 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69c46a6208190a113aefbce1bbaac completed May 3, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69f69cead6d881909765424b5391a613 completed May 3, 2026, 12:55 a.m.
Created at: April 9, 2026, 5:28 p.m.