Triple
T4543955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memphis Sounds |
E110002
|
entity |
| Predicate | teamNickname |
P5076
|
FINISHED |
| Object | Sounds |
E110002
|
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: Sounds | Statement: [Memphis Sounds, teamNickname, Sounds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sounds Context triple: [Memphis Sounds, teamNickname, Sounds]
-
A.
Sounds
chosen
Sounds was the short name of the Memphis Sounds, a former professional basketball team in the American Basketball Association (ABA) during the 1970s.
-
B.
Sounds Air
Sounds Air is a New Zealand regional airline that operates short-haul domestic flights, particularly connecting smaller centers with major hubs.
-
C.
Soundgasm
Soundgasm is a popular Afrobeats song by Nigerian artist Rema, known for its sensual lyrics and smooth, melodic production.
-
D.
Sound Archive
The Sound Archive is the British Library’s extensive audio collection, preserving millions of recordings spanning music, spoken word, oral history, and environmental sounds.
-
E.
Noise
Noise is a modular cryptographic protocol framework used to design secure, lightweight handshake and transport protocols for encrypted communication.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d517e881909c3d23ed4453b0a7 |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc564452c819080beada43c9ba7b1 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:05 p.m.