Triple
T12109694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilder |
E288390
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Wilder Hobson
Wilder Hobson was an American writer and editor known for his work in mid-20th-century journalism and cultural criticism.
|
E993370
|
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 Hobson | Statement: [Wilder, hasNotableBearer, Wilder Hobson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilder Hobson Context triple: [Wilder, hasNotableBearer, Wilder Hobson]
-
A.
Louis Hobson
Louis Hobson is an American musical theatre actor best known for his work on Broadway, including originating a role in the acclaimed rock musical "Next to Normal."
-
B.
Robert Hobson
Robert Hobson was a ship’s captain best known for commanding the vessel Borrowdale.
-
C.
Gary Hobson
Gary Hobson is the protagonist of the television series "Early Edition," a man who mysteriously receives tomorrow’s newspaper today and uses the foreknowledge to try to prevent disasters and help others.
-
D.
Carl Harbord
Carl Harbord was a British actor known for his supporting roles in films and on stage during the early to mid-20th century.
-
E.
Ernest Morgan
Ernest Morgan was a Welsh architect known for designing notable public buildings in Swansea, including the Guildhall.
- 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 Hobson Triple: [Wilder, hasNotableBearer, Wilder Hobson]
Generated description
Wilder Hobson was an American writer and editor known for his work in mid-20th-century journalism and cultural criticism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilder Hobson Target entity description: Wilder Hobson was an American writer and editor known for his work in mid-20th-century journalism and cultural criticism.
-
A.
Louis Hobson
Louis Hobson is an American musical theatre actor best known for his work on Broadway, including originating a role in the acclaimed rock musical "Next to Normal."
-
B.
Robert Hobson
Robert Hobson was a ship’s captain best known for commanding the vessel Borrowdale.
-
C.
Gary Hobson
Gary Hobson is the protagonist of the television series "Early Edition," a man who mysteriously receives tomorrow’s newspaper today and uses the foreknowledge to try to prevent disasters and help others.
-
D.
Carl Harbord
Carl Harbord was a British actor known for his supporting roles in films and on stage during the early to mid-20th century.
-
E.
Ernest Morgan
Ernest Morgan was a Welsh architect known for designing notable public buildings in Swansea, including the Guildhall.
- 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_69f65e9868ec81909efd7e142d5fb090 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fadc97081908376913e390cfc3d |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f660c3d914819097b57784889ca389 |
completed | May 2, 2026, 8:38 p.m. |
Created at: April 8, 2026, 9:49 p.m.