Triple
T17460920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet Money |
E425148
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
OkTanner
OkTanner is a member of the hip-hop/rap producer collective Internet Money, known for crafting contemporary trap and melodic rap beats.
|
E1270158
|
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: OkTanner | Statement: [Internet Money, hasMember, OkTanner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OkTanner Context triple: [Internet Money, hasMember, OkTanner]
-
A.
Tunner
Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
-
B.
O-T
O-T is the professional nickname of British actor, writer, and director O-T Fagbenle, known for his roles in television, film, and theatre.
-
C.
Tuker
Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
-
D.
Orenthal
Orenthal is the distinctive given first name of former American football star and actor O. J. Simpson.
-
E.
Toker
Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
- 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: OkTanner Triple: [Internet Money, hasMember, OkTanner]
Generated description
OkTanner is a member of the hip-hop/rap producer collective Internet Money, known for crafting contemporary trap and melodic rap beats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OkTanner Target entity description: OkTanner is a member of the hip-hop/rap producer collective Internet Money, known for crafting contemporary trap and melodic rap beats.
-
A.
Tunner
Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
-
B.
O-T
O-T is the professional nickname of British actor, writer, and director O-T Fagbenle, known for his roles in television, film, and theatre.
-
C.
Tuker
Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
-
D.
Orenthal
Orenthal is the distinctive given first name of former American football star and actor O. J. Simpson.
-
E.
Toker
Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b82206d08190939e1d5f8d31ec6f |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b8c906ec8190ae9e56b3bdb97fe4 |
completed | May 11, 2026, 11:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b9343028819082933b51bb092b3d |
completed | May 11, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:47 a.m.