Triple
T15122104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purpose |
E361194
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | BloodPop |
E1112354
|
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: BloodPop | Statement: [Purpose, producer, BloodPop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BloodPop Context triple: [Purpose, producer, BloodPop]
-
A.
BloodPop
chosen
BloodPop is an American musician, record producer, and songwriter known for crafting pop and electronic hits for major artists like Justin Bieber and Lady Gaga.
-
B.
The Pop Kids
"The Pop Kids" is a synth-pop song by Pet Shop Boys that nostalgically reflects on youthful club culture and the love of pop music.
-
C.
The Bubbles
The Bubbles are a pair of rounded twin peaks in Acadia National Park, Maine, known for their scenic views over Jordan Pond and popular hiking trails.
-
D.
Booty Luv
Booty Luv is a British dance music duo known for their club-oriented covers and original tracks that blend house, pop, and R&B influences.
-
E.
Mom + Pop
Mom + Pop is a song by the American rock band Lucius, known for its lush harmonies and indie-pop sensibility.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec87ed2cc8190b4cae72774e0df7f |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:06 a.m.