Triple
T3130411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Internet |
E65396
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Syd |
E329645
|
NE FINISHED |
How this triple was built (2 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: Syd | Statement: [The Internet, member, Syd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syd Context triple: [The Internet, member, Syd]
-
A.
Syd
chosen
Syd is an American singer, songwriter, producer, and founding member of the alternative R&B band The Internet, known for her smooth vocals and genre-blending sound.
-
B.
Rawson
Rawson is a coastal city in southern Argentina that serves as the capital of Chubut Province and an important administrative and fishing center in Patagonia.
-
C.
Dawson
Dawson is a common English-language surname of Anglo-Saxon origin, meaning "son of David."
-
D.
Sutherland
Sutherland is a small town in the Northern Cape province of South Africa, best known for its exceptionally clear night skies and major astronomical observatories.
-
E.
Sutherland
Sutherland is a sparsely populated historic county in the far north of mainland Scotland, known for its dramatic coastal scenery, mountains, and remote landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada549aaa881908dcf92d20fa6f238 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224d860dc819095a864619bc29411 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.