Triple
T8246559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amos Alonzo Stagg |
E192863
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stagg
Stagg is a surname most notably associated with Amos Alonzo Stagg, a pioneering American football coach and influential figure in early college athletics.
|
E719943
|
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: Stagg | Statement: [Amos Alonzo Stagg, familyName, Stagg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stagg Context triple: [Amos Alonzo Stagg, familyName, Stagg]
-
A.
Martell
Martell is a historic French cognac house renowned as one of the oldest and most prestigious producers in the Cognac region.
-
B.
Royal Stag
Royal Stag is a popular Indian whisky brand known for its mass-market appeal and strong presence in the premium regular whisky segment.
-
C.
Dewar
Dewar is a Scottish surname borne by various notable individuals in fields such as science, politics, and the arts.
-
D.
Tarbock
Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
-
E.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
- 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: Stagg Triple: [Amos Alonzo Stagg, familyName, Stagg]
Generated description
Stagg is a surname most notably associated with Amos Alonzo Stagg, a pioneering American football coach and influential figure in early college athletics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stagg Target entity description: Stagg is a surname most notably associated with Amos Alonzo Stagg, a pioneering American football coach and influential figure in early college athletics.
-
A.
Martell
Martell is a historic French cognac house renowned as one of the oldest and most prestigious producers in the Cognac region.
-
B.
Royal Stag
Royal Stag is a popular Indian whisky brand known for its mass-market appeal and strong presence in the premium regular whisky segment.
-
C.
Dewar
Dewar is a Scottish surname borne by various notable individuals in fields such as science, politics, and the arts.
-
D.
Tarbock
Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
-
E.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb787414508190a08cf47d1545ce50 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd352b1a288190bd13ef84bef7fa1c |
completed | April 1, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69cd36f057b08190aea9e65b159c3f28 |
completed | April 1, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd37eb17ac81908ac889e96f7fec67 |
completed | April 1, 2026, 3:21 p.m. |
Created at: March 30, 2026, 5:48 p.m.