Triple
T6294914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall |
E141105
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
William Hall
William Hall is a relatively common personal name shared by multiple notable individuals across fields such as politics, the military, sports, and the arts.
|
E582422
|
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: William Hall | Statement: [Hall, hasNotableBearer, William Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Hall Context triple: [Hall, hasNotableBearer, William Hall]
-
A.
William Edward Hall
William Edward Hall was a 19th-century mountaineer known for participating in the first ascent of the Swiss Alpine peak Lagginhorn.
-
B.
Henry Smith
Henry Smith was an early Texas political leader who served as the first American-born governor during the Texas Revolution.
-
C.
Charles Hall
Charles Hall is the son of acclaimed American actress and comedian Julia Louis-Dreyfus.
-
D.
Charles Hall
Charles Hall is an individual known primarily in relation to his brother, Henry Hall.
-
E.
Philip Woodruff
Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
- 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: William Hall Triple: [Hall, hasNotableBearer, William Hall]
Generated description
William Hall is a relatively common personal name shared by multiple notable individuals across fields such as politics, the military, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Hall Target entity description: William Hall is a relatively common personal name shared by multiple notable individuals across fields such as politics, the military, sports, and the arts.
-
A.
William Edward Hall
William Edward Hall was a 19th-century mountaineer known for participating in the first ascent of the Swiss Alpine peak Lagginhorn.
-
B.
Henry Smith
Henry Smith was an early Texas political leader who served as the first American-born governor during the Texas Revolution.
-
C.
Charles Hall
Charles Hall is the son of acclaimed American actress and comedian Julia Louis-Dreyfus.
-
D.
Charles Hall
Charles Hall is an individual known primarily in relation to his brother, Henry Hall.
-
E.
Philip Woodruff
Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06439a6908190b0a8ebf426d3ca02 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51988f1388190b36212b0d9756863 |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51e7ce1b4819090b5bef16a9ea95e |
completed | March 26, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c59285696c819099c31868f6b758dc |
completed | March 26, 2026, 8:09 p.m. |
Created at: March 22, 2026, 4:27 p.m.