Triple
T15354072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugzy Malone |
E367126
|
entity |
| Predicate | socialMediaAccount |
P20647
|
FINISHED |
| Object | @thebugzymalone |
E367126
|
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: @thebugzymalone | Statement: [Bugzy Malone, socialMediaAccount, @thebugzymalone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @thebugzymalone Context triple: [Bugzy Malone, socialMediaAccount, @thebugzymalone]
-
A.
@thebugzymalone
chosen
@thebugzymalone is the official Instagram account of Bugzy Malone, a prominent British grime MC and rapper from Manchester.
-
B.
ZOMO
ZOMO was a militarized riot police force in communist Poland notorious for its brutal suppression of opposition and public protests.
-
C.
Zyg
Zyg is a short form or nickname for the given name Zygmunt, commonly used in Polish and related Slavic contexts.
-
D.
ZM
ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
-
E.
ZUM
ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ff42d48190897e6653d2b4f8a4 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:18 a.m.