Triple
T10702046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tua Tagovailoa |
E252300
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tua
Tua is an American football quarterback best known for playing in the NFL for the Miami Dolphins.
|
E880257
|
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: Tua | Statement: [Tua Tagovailoa, givenName, Tua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tua Context triple: [Tua Tagovailoa, givenName, Tua]
-
A.
Tua
The Tua is a river in northeastern Portugal known for flowing through rugged valleys before joining the Douro River.
-
B.
Tui
Tui is a historic town in northwestern Spain’s Galicia region, known for its medieval architecture and strategic location on the border with Portugal.
-
C.
Tukao
Tukao is a small village and settlement on the atoll of Manihiki in the Cook Islands, known for its remote Pacific island setting and traditional Polynesian community.
-
D.
Mata-Utu
Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
E.
Tekoa
Tekoa is an Israeli settlement and community in the Gush Etzion region of the West Bank, known for its mixed religious-secular population and proximity to Jerusalem.
- 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: Tua Triple: [Tua Tagovailoa, givenName, Tua]
Generated description
Tua is an American football quarterback best known for playing in the NFL for the Miami Dolphins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tua Target entity description: Tua is an American football quarterback best known for playing in the NFL for the Miami Dolphins.
-
A.
Tua
The Tua is a river in northeastern Portugal known for flowing through rugged valleys before joining the Douro River.
-
B.
Tui
Tui is a historic town in northwestern Spain’s Galicia region, known for its medieval architecture and strategic location on the border with Portugal.
-
C.
Tukao
Tukao is a small village and settlement on the atoll of Manihiki in the Cook Islands, known for its remote Pacific island setting and traditional Polynesian community.
-
D.
Mata-Utu
Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
E.
Tekoa
Tekoa is an Israeli settlement and community in the Gush Etzion region of the West Bank, known for its mixed religious-secular population and proximity to Jerusalem.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8c835c8190bf1a67ee94195926 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998f5cda081909932daa3c98f8b46 |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8534688190b312b737e0b9cd53 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69da625a1e8c8190b282e7a70bb7c876 |
completed | April 11, 2026, 3:01 p.m. |
Created at: April 8, 2026, 9:12 p.m.