Triple

T10076899
Position Surface form Disambiguated ID Type / Status
Subject Leó Spitz E213787 entity
Predicate birthName P65 FINISHED
Object Leó Spitz
Leó Spitz is an individual whose recorded birth name is identical to the name by which he is commonly known.
E839315 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: Leó Spitz | Statement: [Leó Spitz, birthName, Leó Spitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leó Spitz
Context triple: [Leó Spitz, birthName, Leó Spitz]
  • A. Leó Spitz
    Leó Spitz, better known as Leo Szilard, was a Hungarian-American physicist and inventor who played a key role in the development of nuclear chain reactions and the Manhattan Project.
  • B. Francis Szpiner
    Francis Szpiner is a French lawyer and politician known for serving as mayor of Paris’s affluent 16th arrondissement.
  • C. Karl Spies
    Karl Spies is an individual notable enough to be recognized as a namesake of the surname Spies.
  • D. Gustav Siegle
    Gustav Siegle was a prominent 19th-century German industrialist and patron of the arts from Stuttgart.
  • E. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • 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: Leó Spitz
Triple: [Leó Spitz, birthName, Leó Spitz]
Generated description
Leó Spitz is an individual whose recorded birth name is identical to the name by which he is commonly known.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leó Spitz
Target entity description: Leó Spitz is an individual whose recorded birth name is identical to the name by which he is commonly known.
  • A. Leó Spitz
    Leó Spitz, better known as Leo Szilard, was a Hungarian-American physicist and inventor who played a key role in the development of nuclear chain reactions and the Manhattan Project.
  • B. Francis Szpiner
    Francis Szpiner is a French lawyer and politician known for serving as mayor of Paris’s affluent 16th arrondissement.
  • C. Karl Spies
    Karl Spies is an individual notable enough to be recognized as a namesake of the surname Spies.
  • D. Gustav Siegle
    Gustav Siegle was a prominent 19th-century German industrialist and patron of the arts from Stuttgart.
  • E. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd02f47e08190bfeb641b202beecc completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ac67cb48190ba53a87c3749a245 completed April 5, 2026, 5:24 p.m.
NEDg Description generation batch_69d29c98e470819098bdf9fa51f40d1f completed April 5, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69d29d0190988190891c264556856f60 completed April 5, 2026, 5:33 p.m.
Created at: March 30, 2026, 8:59 p.m.