Triple
T5071380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Swingers |
E114286
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | WEA |
E117366
|
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: WEA | Statement: [The Swingers, recordLabel, WEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WEA Context triple: [The Swingers, recordLabel, WEA]
-
A.
WEA
WEA is a U.S. nationwide public safety system that delivers government-issued emergency alerts to compatible mobile devices.
-
B.
WEA
WEA is the acronym for the World Evangelical Alliance, a global network that connects and represents evangelical churches and organizations worldwide.
-
C.
WEA Inc.
chosen
WEA Inc. was the former distribution and marketing arm of Warner Music Group, handling the global release of the company’s recorded music.
-
D.
WECA
WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
-
E.
WEOG
WEOG is the United Nations’ regional group for Western European and other like-minded states, used primarily for consultations and the allocation of seats in UN bodies.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74a0aa048190ba01281f1b160609 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb1110a388190a5db1c94b3d60d6b |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.