Triple

T12752580
Position Surface form Disambiguated ID Type / Status
Subject Francis Szpiner E304771 entity
Predicate familyName P18 FINISHED
Object Szpiner
Szpiner is a French surname most notably borne by Francis Szpiner, a prominent lawyer and political figure in France.
 E1000858 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: Szpiner | Statement: [Francis Szpiner, familyName, Szpiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Szpiner
Context triple: [Francis Szpiner, familyName, Szpiner]
  • A. Sznajder
    Sznajder is a surname variant of Schneider, commonly found in Central and Eastern European contexts.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Spychalski
    Spychalski is a Polish surname borne by various individuals, including notable figures in Poland’s political and military history.
  • D. Zylberman
    Zylberman is a surname of likely Ashkenazi Jewish origin borne by individuals such as Bathsheba Zylberman.
  • E. Shteiner
    Shteiner is an alternative spelling or transliteration of the surname Steiner, which is of German origin and borne by various notable individuals.
  • 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: Szpiner
Triple: [Francis Szpiner, familyName, Szpiner]
Generated description
Szpiner is a French surname most notably borne by Francis Szpiner, a prominent lawyer and political figure in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Szpiner
Target entity description: Szpiner is a French surname most notably borne by Francis Szpiner, a prominent lawyer and political figure in France.
  • A. Sznajder
    Sznajder is a surname variant of Schneider, commonly found in Central and Eastern European contexts.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Spychalski
    Spychalski is a Polish surname borne by various individuals, including notable figures in Poland’s political and military history.
  • D. Zylberman
    Zylberman is a surname of likely Ashkenazi Jewish origin borne by individuals such as Bathsheba Zylberman.
  • E. Shteiner
    Shteiner is an alternative spelling or transliteration of the surname Steiner, which is of German origin and borne by various notable individuals.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:27 p.m.