Triple
T9068943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony |
E217312
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Jets (former member) |
E547914
|
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: Jets (former member) | Statement: [Tony, memberOf, Jets (former member)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jets (former member) Context triple: [Tony, memberOf, Jets (former member)]
-
A.
Jet
"Jet" is a popular song by Paul McCartney and Wings, known for its upbeat rock sound and prominent use of horns.
-
B.
Jet
Jet is an American weekly magazine that historically focused on news, culture, and entertainment relevant to the African American community.
-
C.
Jet
chosen
Jet is an Australian rock band best known for their early-2000s garage rock revival sound and hits like "Are You Gonna Be My Girl."
-
D.
Jay E
Jay E is an American record producer best known for crafting the distinctive sound of early 2000s St. Louis hip hop, including much of Nelly’s breakthrough work.
-
E.
Fly
Fly is an experimental avant-garde album by Yoko Ono that blends conceptual art, improvisation, and early noise rock elements.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffddc5c288190b18c2ae1aece4ed6 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.