Triple
T23189163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She's the Boss |
E579682
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Lonely at the Top |
E834760
|
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: Lonely at the Top | Statement: [She's the Boss, hasTrack, Lonely at the Top]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lonely at the Top Context triple: [She's the Boss, hasTrack, Lonely at the Top]
-
A.
Lonely at the Top
chosen
"Lonely at the Top" is a satirical song by Randy Newman that humorously explores the isolation and absurdity of fame and success.
-
B.
Back on Top
Back on Top is a studio album by American indie rock band The Front Bottoms, known for its energetic sound and emotionally candid lyrics.
-
C.
On Top
"On Top" is a 1966 studio album by Motown vocal group the Four Tops, showcasing their soulful harmonies and classic Detroit sound.
-
D.
Love on Top
"Love on Top" is an upbeat R&B song by Beyoncé, celebrated for its key changes, retro-inspired sound, and powerful vocal performance.
-
E.
Lonesome Number One
"Lonesome Number One" is a country song by American singer-songwriter Don Gibson, known for its classic heartbreak theme and traditional Nashville 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30b89b84819090fe87693eedfa93 |
completed | May 19, 2026, 9:43 a.m. |
Created at: April 17, 2026, 4:05 p.m.