Triple
T19737986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swen Nater |
E474037
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nater
Nater is a surname most notably associated with Swen Nater, a Dutch-born former professional basketball player who starred in the ABA and NBA.
|
E1392365
|
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: Nater | Statement: [Swen Nater, familyName, Nater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nater Context triple: [Swen Nater, familyName, Nater]
-
A.
Naters
Naters is a municipality in the canton of Valais in southern Switzerland, located near Brig and known for its Alpine setting and access to mountain tourism.
-
B.
Naul
Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
-
C.
Narie
Narie is a scenic lake in northern Poland known for its clean waters, irregular shoreline, and popularity for recreation such as sailing and fishing.
-
D.
Nessa
Nessa is a Valië in J.R.R. Tolkien’s legendarium, known as the swift, joyful dancer and wife of Tulkas among the Valar.
-
E.
Nessa
Nessa is a small locality situated within the Leipzig metropolitan region in Germany.
- 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: Nater Triple: [Swen Nater, familyName, Nater]
Generated description
Nater is a surname most notably associated with Swen Nater, a Dutch-born former professional basketball player who starred in the ABA and NBA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nater Target entity description: Nater is a surname most notably associated with Swen Nater, a Dutch-born former professional basketball player who starred in the ABA and NBA.
-
A.
Naters
Naters is a municipality in the canton of Valais in southern Switzerland, located near Brig and known for its Alpine setting and access to mountain tourism.
-
B.
Naul
Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
-
C.
Narie
Narie is a scenic lake in northern Poland known for its clean waters, irregular shoreline, and popularity for recreation such as sailing and fishing.
-
D.
Nessa
Nessa is a small locality situated within the Leipzig metropolitan region in Germany.
-
E.
Nessa
Nessa is a Valië in J.R.R. Tolkien’s legendarium, known as the swift, joyful dancer and wife of Tulkas among the Valar.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ea688819097b6838e6a3b3d4a |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f944108190b63432ef6d0eb984 |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b5c7a0348190b06f5300c89f0548 |
completed | May 16, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b655722c8190be1b30d1e276c580 |
completed | May 16, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:47 p.m.