Triple
T17460822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Had Enough |
E425146
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | JackBoys |
—
|
NE NERFINISHED |
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: JackBoys | Statement: [Had Enough, partOf, JackBoys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JackBoys Context triple: [Had Enough, partOf, JackBoys]
-
A.
JackBoys
JackBoys is a collaborative hip-hop compilation project and collective led by Travis Scott, showcasing artists from his Cactus Jack Records label.
-
B.
JACKBOYS
chosen
JACKBOYS is a collaborative compilation album and project led by Travis Scott featuring artists from his Cactus Jack Records label, blending trap and hip-hop with high-energy production.
-
C.
Bobbies
Bobbies is a named corner on the Castle Combe motor racing circuit in Wiltshire, England, known as one of the track’s key turns.
-
D.
Jimbocho
Jimbocho is a Tokyo neighborhood famed for its dense concentration of used bookstores, publishing houses, and student-friendly cafes.
-
E.
Johnnies
Johnnies is the nickname for the athletic teams and students of Saint John's University in Collegeville, Minnesota.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.