Triple

T1101723
Position Surface form Disambiguated ID Type / Status
Subject David Herold E24394 entity
Predicate familyName P18 FINISHED
Object Herold
Herold is a German-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
E127154 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: Herold | Statement: [David Herold, familyName, Herold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herold
Context triple: [David Herold, familyName, Herold]
  • A. Thomas Mercer
    Thomas Mercer was a 19th-century Seattle-area pioneer and judge whose name was given to Mercer Island in Washington State.
  • B. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • C. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • D. Harmon Jones
    Harmon Jones was an American film editor and director active in Hollywood during the mid-20th century, known for his work on several notable studio productions.
  • E. Henry Vincent
    Henry Vincent was a prominent 19th-century British radical and orator who became one of the leading figures in the Chartist movement for political and electoral reform.
  • 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: Herold
Triple: [David Herold, familyName, Herold]
Generated description
Herold is a German-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Herold
Target entity description: Herold is a German-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • A. Thomas Mercer
    Thomas Mercer was a 19th-century Seattle-area pioneer and judge whose name was given to Mercer Island in Washington State.
  • B. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • C. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • D. Harmon Jones
    Harmon Jones was an American film editor and director active in Hollywood during the mid-20th century, known for his work on several notable studio productions.
  • E. Henry Vincent
    Henry Vincent was a prominent 19th-century British radical and orator who became one of the leading figures in the Chartist movement for political and electoral reform.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c21c2c8190a34d91a7afed23a9 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c47dbf88190a1898d7bda32ecb2 completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac4feb86c88190abaed60e0782fec6 completed March 7, 2026, 4:18 p.m.
NED2 Entity disambiguation (via description) batch_69ac509b6fe48190973bbfabdc976541 completed March 7, 2026, 4:21 p.m.
Created at: March 1, 2026, 7:43 p.m.