Triple
T15433725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hieroglyphics |
E369702
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | A-Plus |
E1156497
|
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: A-Plus | Statement: [Hieroglyphics, associatedAct, A-Plus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A-Plus Context triple: [Hieroglyphics, associatedAct, A-Plus]
-
A.
A-Plus
chosen
A-Plus is an American rapper and producer best known as a founding member of the influential hip hop collective Hieroglyphics and the group Souls of Mischief.
-
B.
A
A is the letter designation for one of the primary services on the New York City Subway system.
-
C.
A
A is a Los Angeles Metro Rail line that runs along the Blue Line corridor, connecting downtown Los Angeles with surrounding communities.
-
D.
Pro A
Pro A is the top-tier professional basketball league in Latvia, organized under the Latvian National Basketball League (LNB).
-
E.
Ever Grade
Ever Grade is a large container ship operated by Evergreen Marine and part of the same vessel class as the famously wedged Suez Canal ship Ever Given.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a3d1f481908f6795656514b2b4 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.