Triple
T10245539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaissance (Beyoncé album) |
E240202
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Heated |
E826919
|
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: Heated | Statement: [Renaissance (Beyoncé album), hasPart, Heated]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heated Context triple: [Renaissance (Beyoncé album), hasPart, Heated]
-
A.
Heated
chosen
"Heated" is a song by Beyoncé from her 2022 album "Renaissance," known for its sultry production and confident, club-ready energy.
-
B.
Hot
"Hot" is a popular trap song by American rapper Young Thug, known for its brass-heavy production and memorable hook.
-
C.
Hitzig
Hitzig is a German surname most notably associated with 19th-century figures such as architect Friedrich Hitzig.
-
D.
Warming
Warming is a surname most notably associated with Eugenius Warming, a pioneering Danish botanist and foundational figure in plant ecology.
-
E.
Warmer
"Warmer" is a solo studio album by American musician Jeff Tweedy, known for its intimate, stripped-down songwriting and reflective, folk-influenced sound.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22be0208190b671a4e3f81d11b8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f79c20e08190928d061b3d4b4e47 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.