Triple

T11383755
Position Surface form Disambiguated ID Type / Status
Subject Ralph Branca E269662 entity
Predicate familyName P18 FINISHED
Object Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
E922816 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: Branca | Statement: [Ralph Branca, familyName, Branca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Branca
Context triple: [Ralph Branca, familyName, Branca]
  • A. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • B. Redburga
    Redburga is a historically obscure woman believed to have been the wife of King Egbert of Wessex and the mother of King Æthelwulf, placing her in the early 9th-century West Saxon royal family.
  • C. Sulwe
    Sulwe is a children's picture book by Lupita Nyong'o that explores colorism, self-esteem, and embracing one's own unique beauty through the story of a dark-skinned girl.
  • D. De Withte
    De Withte is an alternative historical spelling or variant form of the Dutch surname "De Witt."
  • E. Blanzy
    Blanzy is a commune in the Saône-et-Loire department of eastern France, known historically for its coal mining and its proximity to the town of Montceau-les-Mines.
  • 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: Branca
Triple: [Ralph Branca, familyName, Branca]
Generated description
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Branca
Target entity description: Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
  • A. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • B. Redburga
    Redburga is a historically obscure woman believed to have been the wife of King Egbert of Wessex and the mother of King Æthelwulf, placing her in the early 9th-century West Saxon royal family.
  • C. Sulwe
    Sulwe is a children's picture book by Lupita Nyong'o that explores colorism, self-esteem, and embracing one's own unique beauty through the story of a dark-skinned girl.
  • D. De Withte
    De Withte is an alternative historical spelling or variant form of the Dutch surname "De Witt."
  • E. Blanzy
    Blanzy is a commune in the Saône-et-Loire department of eastern France, known historically for its coal mining and its proximity to the town of Montceau-les-Mines.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c1d4b188190b83cfad0cc95483e completed April 20, 2026, 2:14 a.m.
NEDg Description generation batch_69e59323c5948190bc2c9512f7b0a54f completed April 20, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69e599c53704819097c0fdbbfbbb1e87 completed April 20, 2026, 3:13 a.m.
Created at: April 8, 2026, 9:34 p.m.