Triple
T11308283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shutterbugg |
E267769
|
entity |
| Predicate | vocalContributor |
P44280
|
FINISHED |
| Object | Cutty |
E917208
|
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: Cutty | Statement: [Shutterbugg, vocalContributor, Cutty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cutty Context triple: [Shutterbugg, vocalContributor, Cutty]
-
A.
Cutty
chosen
Cutty is an American rapper and singer known for his guest appearances on Southern hip hop tracks, including collaborations with Big Boi.
-
B.
Nikkiya
Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
-
C.
Taystee
Taystee is a central character in the television series "Orange Is the New Black," known for her intelligence, humor, and leadership among the inmates at Litchfield Penitentiary.
-
D.
Keally
Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
-
E.
Bornette
Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542df01fc81908539407e20543002 |
completed | April 19, 2026, 9:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.