Triple
T17208855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bootsy Collins |
E417670
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Flea |
E378410
|
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: Flea | Statement: [Bootsy Collins, influenced, Flea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flea Context triple: [Bootsy Collins, influenced, Flea]
-
A.
Flea
chosen
Flea is an American musician and actor best known as the bassist and co-founder of the rock band Red Hot Chili Peppers.
-
B.
Floh
Floh is a photographic artist's book by Tacita Dean that assembles found snapshots into a contemplative exploration of memory, chance, and the passage of time.
-
C.
Fleck
Fleck is the surname of Ludwik Fleck, a Polish microbiologist and philosopher of science known for his pioneering work on the sociology of scientific knowledge.
-
D.
Fleck
Fleck is a circus performer and member of the eerie ensemble in Andrew Lloyd Webber’s musical "Love Never Dies," serving as one of the Phantom’s loyal followers at Coney Island.
-
E.
Piolle
Piolle is the surname of Éric Piolle, a French politician known for serving as the Green Party mayor of Grenoble.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc3b0ec8190b8c9fc401da5770c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fe0a28c8190a76b3a356f7e0478 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.