Triple
T13724177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thinkin Bout You |
E329110
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Pyramids |
E758875
|
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: Pyramids | Statement: [Thinkin Bout You, precedes, Pyramids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyramids Context triple: [Thinkin Bout You, precedes, Pyramids]
-
A.
Pyramids
"Pyramids" is a politically charged hip-hop track by Common from his album *Black America Again*, reflecting on Black history, struggle, and resilience.
-
B.
Pyramids
chosen
"Pyramids" is a critically acclaimed, genre-blending track by Frank Ocean known for its ambitious structure, storytelling, and production on his album *Channel Orange*.
-
C.
Pyramides
Pyramides is a Paris Métro station located near the Opéra district, serving as an interchange between lines 7 and 14 in central Paris.
-
D.
Pyramid
Pyramid is a lightweight, flexible Python web framework designed to scale from small applications to large, complex systems while offering great configurability and extensibility.
-
E.
The Pyramid
The Pyramid is a massive pyramid-shaped arena and entertainment complex in Memphis, Tennessee, known for its distinctive architecture and current use as a Bass Pro Shops megastore and tourist attraction.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.