Triple
T16877072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aspects of Love |
E421325
|
entity |
| Predicate | lyricsBy |
P1141
|
FINISHED |
| Object | Don Black |
E330169
|
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: Don Black | Statement: [Aspects of Love, lyricsBy, Don Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Black Context triple: [Aspects of Love, lyricsBy, Don Black]
-
A.
Don Black
Don Black is an American white supremacist and former Ku Klux Klan leader best known for founding the extremist website Stormfront.
-
B.
Don Black
chosen
Don Black is a renowned British lyricist best known for his work on numerous film themes and hit songs, including collaborations with major composers on James Bond soundtracks.
-
C.
Alan Black
Alan Black is a Northern Irish man known for being the sole survivor of the 1976 Kingsmill massacre during the Troubles.
-
D.
Jeffrey Allen Townes
Jeffrey Allen Townes is an American DJ, record producer, and actor best known as DJ Jazzy Jeff, one half of the hip hop duo DJ Jazzy Jeff & The Fresh Prince.
-
E.
Paul Black
Paul Black is an American rock singer best known as an early vocalist and songwriter for the glam metal band L.A. Guns.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f704a081909921d00b3c470472 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a451708190897bb3332c1e7457 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.