Triple
T3563852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Wanna Thank Me |
E75397
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Neva Left |
E75634
|
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: Neva Left | Statement: [I Wanna Thank Me, follows, Neva Left]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neva Left Context triple: [I Wanna Thank Me, follows, Neva Left]
-
A.
Neva Left
chosen
Neva Left is a studio album by American rapper Snoop Dogg that reflects on his long career and West Coast hip-hop roots.
-
B.
Neva Bay
Neva Bay is a shallow eastern extension of the Gulf of Finland near Saint Petersburg, Russia, serving as the receiving basin for the Neva River before it enters the Baltic Sea.
-
C.
Neva Small
Neva Small is an American actress and singer best known for her role as Chava in the film adaptation of the musical "Fiddler on the Roof."
-
D.
District Pier
District Pier is a prominent waterfront event and gathering space at The Wharf development along Washington, D.C.’s Southwest Waterfront.
-
E.
Neva River
The Neva River is a major waterway in northwestern Russia that flows through Saint Petersburg into the Gulf of Finland, playing a central role in the city's geography, history, and economy.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a76c008190a2056b6d990776fe |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402e8628c81909913974602782b7a |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:21 p.m.