Triple
T10387981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wahunsenacawh |
E244814
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Matachanna
Matachanna was a daughter of the Powhatan paramount chief Wahunsenacawh and a lesser-known member of the Powhatan royal family in early 17th-century Virginia.
|
E861518
|
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: Matachanna | Statement: [Wahunsenacawh, child, Matachanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matachanna Context triple: [Wahunsenacawh, child, Matachanna]
-
A.
Matachewan
Matachewan is a small rural community in northeastern Ontario, Canada, known for its mining history and proximity to wilderness and outdoor recreation areas.
-
B.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
C.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
D.
Chiriguaná
Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
-
E.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
- 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: Matachanna Triple: [Wahunsenacawh, child, Matachanna]
Generated description
Matachanna was a daughter of the Powhatan paramount chief Wahunsenacawh and a lesser-known member of the Powhatan royal family in early 17th-century Virginia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matachanna Target entity description: Matachanna was a daughter of the Powhatan paramount chief Wahunsenacawh and a lesser-known member of the Powhatan royal family in early 17th-century Virginia.
-
A.
Matachewan
Matachewan is a small rural community in northeastern Ontario, Canada, known for its mining history and proximity to wilderness and outdoor recreation areas.
-
B.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
C.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
D.
Chiriguaná
Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
-
E.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a59d688190b1da1ea0ed48fafa |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbae9a9c81908178fca68eb142b6 |
completed | April 9, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_69d822d303888190aa556287b3b1cc03 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859b05a3881908c97cb173d160e44 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:05 p.m.