Triple
T22013512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mr. T Experience |
E543644
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Joel Reader |
—
|
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: Joel Reader | Statement: [The Mr. T Experience, hasMember, Joel Reader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Reader Context triple: [The Mr. T Experience, hasMember, Joel Reader]
-
A.
Joel Reader
chosen
Joel Reader is an American musician best known as a bassist and guitarist in several pop-punk and indie rock bands, including The Mr. T Experience and The Bomb Bassets.
-
B.
Joel McAndrew
Joel McAndrew is a New York–based hedge fund manager best known as the husband of English model and actress Agyness Deyn.
-
C.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
-
D.
Joel Reynolds
Joel Reynolds is a fictional protagonist whose story centers on his personal experiences and development within the narrative from which he is drawn.
-
E.
Joel Gallen
Joel Gallen is an American film and television producer and director best known for his work on high-profile comedy specials and live event broadcasts.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a5e624819082ed5beeb4bc82fa |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.