Triple

T21686332
Position Surface form Disambiguated ID Type / Status
Subject Sarsfield E535237 entity
Predicate hasVariantSpelling P457 FINISHED
Object Sarsfeld
Sarsfeld is a variant spelling of the Irish surname Sarsfield, historically associated with notable figures such as the Jacobite military leader Patrick Sarsfield.
E1496828 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: Sarsfeld | Statement: [Sarsfield, hasVariantSpelling, Sarsfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarsfeld
Context triple: [Sarsfield, hasVariantSpelling, Sarsfeld]
  • A. Lenné
    Lenné is a German surname most notably associated with Peter Joseph Lenné, a renowned 19th-century landscape architect and garden designer.
  • B. Seyler
    Seyler is a surname most notably associated with English character actress Athene Seyler.
  • C. Olbrich
    Olbrich is a German surname most notably associated with architect Joseph Maria Olbrich, a key figure of the Vienna Secession movement.
  • D. Kleinfeld
    Kleinfeld is a corrupt, cocaine-addicted lawyer in the crime film "Carlito's Way," whose reckless actions help drive the story’s tragic downfall.
  • E. Rutishauser
    Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
  • 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: Sarsfeld
Triple: [Sarsfield, hasVariantSpelling, Sarsfeld]
Generated description
Sarsfeld is a variant spelling of the Irish surname Sarsfield, historically associated with notable figures such as the Jacobite military leader Patrick Sarsfield.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarsfeld
Target entity description: Sarsfeld is a variant spelling of the Irish surname Sarsfield, historically associated with notable figures such as the Jacobite military leader Patrick Sarsfield.
  • A. Lenné
    Lenné is a German surname most notably associated with Peter Joseph Lenné, a renowned 19th-century landscape architect and garden designer.
  • B. Seyler
    Seyler is a surname most notably associated with English character actress Athene Seyler.
  • C. Olbrich
    Olbrich is a German surname most notably associated with architect Joseph Maria Olbrich, a key figure of the Vienna Secession movement.
  • D. Kleinfeld
    Kleinfeld is a corrupt, cocaine-addicted lawyer in the crime film "Carlito's Way," whose reckless actions help drive the story’s tragic downfall.
  • E. Rutishauser
    Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cb69f081908ed0c7ebea429898 completed April 27, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e20fc348190899995c0988d9cc5 completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1ef23b6c8190a0194719c34bb971 completed May 17, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1fc13900819098ee66684dfdff95 completed May 17, 2026, 8:06 p.m.
Created at: April 16, 2026, 6:44 p.m.