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.