Triple
T12109715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilder |
E288390
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Wilder Miller
Wilder Miller is an individual notable enough to be recognized as a prominent bearer of the given name Wilder.
|
E985731
|
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: Wilder Miller | Statement: [Wilder, hasNotableBearer, Wilder Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilder Miller Context triple: [Wilder, hasNotableBearer, Wilder Miller]
-
A.
Wilder Richards
Wilder Richards is an individual notable enough to be specifically cited as a bearer of the given name Wilder.
-
B.
Wick R. Miller
Wick R. Miller was an American linguist known for his influential work on Uto-Aztecan languages, particularly the Southern Numic branch.
-
C.
Oscar Millard
Oscar Millard was a British-born screenwriter best known for his work in mid-20th-century Hollywood films, including notable dramas and thrillers.
-
D.
Eugene Miller
Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
-
E.
Frederick Miller
Frederick Miller was a 19th-century German-American brewer and entrepreneur best known for establishing the Miller Brewing Company in Milwaukee, Wisconsin.
- 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: Wilder Miller Triple: [Wilder, hasNotableBearer, Wilder Miller]
Generated description
Wilder Miller is an individual notable enough to be recognized as a prominent bearer of the given name Wilder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilder Miller Target entity description: Wilder Miller is an individual notable enough to be recognized as a prominent bearer of the given name Wilder.
-
A.
Wilder Richards
Wilder Richards is an individual notable enough to be specifically cited as a bearer of the given name Wilder.
-
B.
Wick R. Miller
Wick R. Miller was an American linguist known for his influential work on Uto-Aztecan languages, particularly the Southern Numic branch.
-
C.
Oscar Millard
Oscar Millard was a British-born screenwriter best known for his work in mid-20th-century Hollywood films, including notable dramas and thrillers.
-
D.
Eugene Miller
Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
-
E.
Frederick Miller
Frederick Miller was a 19th-century German-American brewer and entrepreneur best known for establishing the Miller Brewing Company in Milwaukee, Wisconsin.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156709288190b4684cb19037dc38 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b83c15081908d2ed4c6d2e7534b |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64c276d388190b58fe884466076ee |
completed | May 2, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64ce7b444819094d94bec749d7618 |
completed | May 2, 2026, 7:13 p.m. |
Created at: April 8, 2026, 9:49 p.m.