Triple
T5887774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Love |
E130907
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Boom Bishop |
E130907
|
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: Boom Bishop | Statement: [Let Love, producer, Boom Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boom Bishop Context triple: [Let Love, producer, Boom Bishop]
-
A.
Boom Bishop
chosen
Boom Bishop is a music producer best known for his work on the project "Let Love."
-
B.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
-
C.
Basher Tarr
Basher Tarr is a skilled British explosives and munitions expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
-
D.
Big Gipp
Big Gipp is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
E.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036af6330819081d9fa98a8c26633 |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b141a93081908ad4a64f9a96dce4 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.