Triple

T1926391
Position Surface form Disambiguated ID Type / Status
Subject Josephine Dunn E40840 entity
Predicate familyName P18 FINISHED
Object Dunn
Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
E216706 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: Dunn | Statement: [Josephine Dunn, familyName, Dunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunn
Context triple: [Josephine Dunn, familyName, Dunn]
  • A. Dunlap
    Dunlap is a minor character in the play "Inherit the Wind," appearing as one of the townspeople involved in the trial’s tense, small-town atmosphere.
  • B. Dixon
    Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
  • C. Howden
    Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
  • D. Howden
    Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • E. Dyer
    Dyer is a small unincorporated community in rural western Nevada, known for its remote desert setting and agricultural surroundings.
  • 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: Dunn
Triple: [Josephine Dunn, familyName, Dunn]
Generated description
Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dunn
Target entity description: Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
  • A. Dunlap
    Dunlap is a minor character in the play "Inherit the Wind," appearing as one of the townspeople involved in the trial’s tense, small-town atmosphere.
  • B. Dixon
    Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
  • C. Howden
    Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
  • D. Howden
    Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • E. Dyer
    Dyer is a small unincorporated community in rural western Nevada, known for its remote desert setting and agricultural surroundings.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb261ef8481909be2390ac5a02622 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3eb5d2c8190b5afd16a822bf0e4 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf4e94b5081909d4010612d81b917 completed March 8, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69adf60463d88190896cedb2b45a67ed completed March 8, 2026, 10:19 p.m.
Created at: March 4, 2026, 7:35 p.m.