Triple

T12852848
Position Surface form Disambiguated ID Type / Status
Subject Reuben Hersh E307366 entity
Predicate influencedBy P9 FINISHED
Object Imre Lakatos E70085 NE FINISHED

How this triple was built (2 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: Imre Lakatos | Statement: [Reuben Hersh, influencedBy, Imre Lakatos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imre Lakatos
Context triple: [Reuben Hersh, influencedBy, Imre Lakatos]
  • A. Imre Lakatos chosen
    Imre Lakatos was a Hungarian-born philosopher of mathematics and science best known for his theory of research programmes, which sought to refine and extend Karl Popper’s falsificationism.
  • B. Tibor Radó
    Tibor Radó was a Hungarian-American mathematician known for his contributions to real analysis, topology, and the theory of surfaces, including work related to the Jordan curve theorem.
  • C. János Szentágothai
    János Szentágothai was a prominent Hungarian neuroscientist and anatomist renowned for his pioneering research on the structure and function of the brain.
  • D. Karl Popper
    Karl Popper was a 20th-century philosopher of science best known for his theory of falsifiability as the demarcation criterion between science and non-science.
  • E. Béla Szőkefalvi-Nagy
    Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba79918819093e047ce22191923 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.