Triple
T13795396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8 Diagrams |
E331501
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
RNS
RNS is a music producer best known for working on the Wu-Tang Clan-affiliated album "8 Diagrams."
|
E1062909
|
NE FINISHED |
How this triple was built (4 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: RNS | Statement: [8 Diagrams, producer, RNS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RNS Context triple: [8 Diagrams, producer, RNS]
-
A.
RSN
RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
-
B.
RSN
RSN is the maritime branch of Singapore’s armed forces, responsible for safeguarding the nation’s territorial waters and maritime interests.
-
C.
R^nRS
R^nRS is the conventional notation for the successive Revised Reports on the Algorithmic Language Scheme, denoting the nth formal revision of the Scheme language specification.
-
D.
RNR
RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
-
E.
R2N
R2N is the symbol used to designate the R2 Nord commuter rail line in the Barcelona suburban railway network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RNS Triple: [8 Diagrams, producer, RNS]
Generated description
RNS is a music producer best known for working on the Wu-Tang Clan-affiliated album "8 Diagrams."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RNS Target entity description: RNS is a music producer best known for working on the Wu-Tang Clan-affiliated album "8 Diagrams."
-
A.
RSN
RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
-
B.
RSN
RSN is the maritime branch of Singapore’s armed forces, responsible for safeguarding the nation’s territorial waters and maritime interests.
-
C.
R^nRS
R^nRS is the conventional notation for the successive Revised Reports on the Algorithmic Language Scheme, denoting the nth formal revision of the Scheme language specification.
-
D.
RNR
RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
-
E.
R2N
R2N is the symbol used to designate the R2 Nord commuter rail line in the Barcelona suburban railway network.
- F. None of above. chosen
Provenance (5 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08508688190b7e8c33e6b65e25d |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b48bf704819098bfb70def28a0d1 |
completed | May 3, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b5c9e284819094e7af030e1e9034 |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 9, 2026, 10:11 p.m.