Triple
T2009830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus and Mars |
E43664
|
entity |
| Predicate | featuresBandMember |
P15278
|
FINISHED |
| Object | Joe English |
E226125
|
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: Joe English | Statement: [Venus and Mars, featuresBandMember, Joe English]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe English Context triple: [Venus and Mars, featuresBandMember, Joe English]
-
A.
Joe English
chosen
Joe English is an American drummer best known for his work with Paul McCartney and Wings in the mid-1970s.
-
B.
Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
-
C.
Ian Keith
Ian Keith was an American character actor of stage and screen, active from the silent era through the mid-20th century, known for his versatile supporting roles in numerous Hollywood films.
-
D.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
E.
Christopher Reid
Christopher Reid is a British poet and former poetry editor known for his witty, emotionally resonant verse and for winning major literary awards such as the Costa Book Award.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe3480c8190add171121653fc8a |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:37 p.m.