Triple

T4580399
Position Surface form Disambiguated ID Type / Status
Subject Peter Benenson E101839 entity
Predicate familyName P18 FINISHED
Object Benenson
Benenson is a surname most notably associated with Peter Benenson, the British lawyer who founded the human rights organization Amnesty International.
E454001 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: Benenson | Statement: [Peter Benenson, familyName, Benenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benenson
Context triple: [Peter Benenson, familyName, Benenson]
  • A. Beranek
    Beranek is a surname most notably associated with Leo Beranek, an American acoustics expert and co-founder of the engineering firm Bolt, Beranek and Newman (BBN).
  • B. Ben-Zvi
    Ben-Zvi is a Hebrew surname most notably associated with Yitzhak Ben-Zvi, the second President of the State of Israel.
  • C. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • D. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • E. Ben-Veniste
    Ben-Veniste is the surname of Richard Ben-Veniste, an American lawyer known for his roles in high-profile U.S. government investigations.
  • 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: Benenson
Triple: [Peter Benenson, familyName, Benenson]
Generated description
Benenson is a surname most notably associated with Peter Benenson, the British lawyer who founded the human rights organization Amnesty International.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benenson
Target entity description: Benenson is a surname most notably associated with Peter Benenson, the British lawyer who founded the human rights organization Amnesty International.
  • A. Beranek
    Beranek is a surname most notably associated with Leo Beranek, an American acoustics expert and co-founder of the engineering firm Bolt, Beranek and Newman (BBN).
  • B. Ben-Zvi
    Ben-Zvi is a Hebrew surname most notably associated with Yitzhak Ben-Zvi, the second President of the State of Israel.
  • C. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • D. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • E. Ben-Veniste
    Ben-Veniste is the surname of Richard Ben-Veniste, an American lawyer known for his roles in high-profile U.S. government investigations.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e534708190a1ba9c5a29b3774d completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3f532dc81909b6c464defada832 completed March 20, 2026, 11:10 p.m.
NEDg Description generation batch_69bdd70276748190b519fd23d195bf56 completed March 20, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69bdd759be90819088098a8b2353aa27 completed March 20, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:10 p.m.