Triple
T5773604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pharcyde |
E127385
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object | Slimkid3 |
E544943
|
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: Slimkid3 | Statement: [The Pharcyde, formerMember, Slimkid3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slimkid3 Context triple: [The Pharcyde, formerMember, Slimkid3]
-
A.
Slimkid3
chosen
Slimkid3 is an American rapper and producer best known as a founding member of the influential alternative hip hop group The Pharcyde.
-
B.
Slim
Slim is the tall, sarcastic stick insect who performs as a reluctant clown in the circus troupe in Pixar's animated film "A Bug's Life."
-
C.
Slim
Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
-
D.
Slim
Slim is the nickname of Slim Keith, a prominent American socialite and fashion icon of the mid-20th century known for her influence in high society and style.
-
E.
Slim
Slim is a highly respected, compassionate, and insightful mule driver on the ranch in John Steinbeck’s novel "Of Mice and Men," often serving as a moral authority among the workers.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029af681081908276e99c568561ce |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09809cfcc8190b4d55db4b74316c7 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:50 p.m.