Triple

T22581155
Position Surface form Disambiguated ID Type / Status
Subject Jean Chrétien Baud E544570 entity
Predicate familyName P18 FINISHED
Object Baud
Baud is a French surname most notably associated with Jean Chrétien Baud, a 19th-century Dutch colonial administrator and politician.
E1544218 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: Baud | Statement: [Jean Chrétien Baud, familyName, Baud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baud
Context triple: [Jean Chrétien Baud, familyName, Baud]
  • A. Bode
    The Bode is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt before joining the Saale.
  • B. Bode
    Bode is a surname most notably associated with Hendrik Wade Bode, an influential American engineer and pioneer in control theory and communication systems.
  • C. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • D. BNC
    BNC is the IATA airport code for Beni Airport in the Democratic Republic of the Congo.
  • E. BNC
    BNC is the three-letter National Rail station code for Burnley Central railway station in Lancashire, England.
  • 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: Baud
Triple: [Jean Chrétien Baud, familyName, Baud]
Generated description
Baud is a French surname most notably associated with Jean Chrétien Baud, a 19th-century Dutch colonial administrator and politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baud
Target entity description: Baud is a French surname most notably associated with Jean Chrétien Baud, a 19th-century Dutch colonial administrator and politician.
  • A. Bode
    Bode is a surname most notably associated with Hendrik Wade Bode, an influential American engineer and pioneer in control theory and communication systems.
  • B. Bode
    The Bode is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt before joining the Saale.
  • C. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • D. BNC
    BNC is the IATA airport code for Beni Airport in the Democratic Republic of the Congo.
  • E. BNC
    BNC is the three-letter National Rail station code for Burnley Central railway station in Lancashire, England.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff065308190bca9fb24b47757e6 completed April 29, 2026, 1:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d5460cc819082b4924809b1ae56 completed May 18, 2026, 4:24 p.m.
NEDg Description generation batch_6a0b3e659bbc81908ebe404365577ddf completed May 18, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f401fb08190b59206d6e5edbaf7 completed May 18, 2026, 4:33 p.m.
Created at: April 16, 2026, 8:53 p.m.