Triple
T23816118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric B. Is President |
E589097
|
entity |
| Predicate | firstSingleOf |
P112605
|
FINISHED |
| Object | Eric B. & Rakim |
—
|
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: Eric B. & Rakim | Statement: [Eric B. Is President, firstSingleOf, Eric B. & Rakim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSingleOf Context triple: [Eric B. Is President, firstSingleOf, Eric B. & Rakim]
-
A.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
B.
firstOfType
Indicates that the subject is the earliest or initial instance of its kind within a specified group, category, or sequence.
-
C.
isFirstSingleFrom
chosen
Indicates that one musical work is the first single released from another work, typically an album or larger recording project.
-
D.
singleFrom
Indicates that one entity is derived as a single, distinct item from another source or collection.
-
E.
singleWith
Indicates that an entity is unmarried and not currently in a romantic relationship.
- F. None of above.
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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ab4e8881908f2711e9d62cad98 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:58 p.m.