Triple
T12173941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alphonso Davies |
E290041
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Alphonso
Alphonso is a Canadian professional soccer player best known as a dynamic left-back and winger for Bayern Munich and the Canadian national team.
|
E965877
|
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: Alphonso | Statement: [Alphonso Davies, givenName, Alphonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alphonso Context triple: [Alphonso Davies, givenName, Alphonso]
-
A.
Alphonso
Alphonso is the middle name of Robert A. Taft, a prominent mid-20th-century American conservative politician and U.S. senator from Ohio.
-
B.
Alfons
Alfons is the given name of Alphonse Mucha, the renowned Czech Art Nouveau painter and decorative artist.
-
C.
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
-
D.
Antonio Aquitania
Antonio Aquitania is a Filipino actor and comedian best known for his long-running work on the GMA Network sketch comedy show "Bubble Gang."
-
E.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
- 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: Alphonso Triple: [Alphonso Davies, givenName, Alphonso]
Generated description
Alphonso is a Canadian professional soccer player best known as a dynamic left-back and winger for Bayern Munich and the Canadian national team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alphonso Target entity description: Alphonso is a Canadian professional soccer player best known as a dynamic left-back and winger for Bayern Munich and the Canadian national team.
-
A.
Alphonso
Alphonso is the middle name of Robert A. Taft, a prominent mid-20th-century American conservative politician and U.S. senator from Ohio.
-
B.
Alfons
Alfons is the given name of Alphonse Mucha, the renowned Czech Art Nouveau painter and decorative artist.
-
C.
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
-
D.
Antonio Aquitania
Antonio Aquitania is a Filipino actor and comedian best known for his long-running work on the GMA Network sketch comedy show "Bubble Gang."
-
E.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dab42881908e2580c631d4d1cf |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a9482481909500c216f23fceb4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5fdebe3fc81909a5bb23a943c3c43 |
completed | May 2, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5feeaf2e48190995f282b02a9caaf |
completed | May 2, 2026, 1:40 p.m. |
Created at: April 8, 2026, 9:50 p.m.