Triple
T15122234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice |
E361196
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | TroyBoi |
E1137764
|
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: TroyBoi | Statement: [Justice, producer, TroyBoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TroyBoi Context triple: [Justice, producer, TroyBoi]
-
A.
TroyBoi
chosen
TroyBoi is a British electronic music producer and DJ known for his distinctive trap-influenced sound and innovative, bass-heavy productions.
-
B.
T-Roy
T-Roy is the costumed Trojan warrior mascot who represents Troy University at athletic events and campus activities.
-
C.
Troy Ryan
Troy Ryan is a Canadian ice hockey coach best known for leading the Canadian women’s national team to multiple international successes, including Olympic and World Championship gold medals.
-
D.
TRO
TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
-
E.
Northboi
Northboi is a Nigerian music producer best known for crafting hit Afrobeats tracks, including some of Wizkid’s most popular songs.
- 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_69febfe6c9cc8190b15e81092faa8ccf |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.