Triple
T3021341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ok Ok pt 2 |
E82462
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
Ok Ok pt 2
"Ok Ok pt 2" is likely a follow-up or sequel work—such as a song, EP, or other media piece—building on an earlier release titled "Ok Ok."
|
E82462
|
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: Ok Ok pt 2 | Statement: [Ok Ok pt 2, hasTitle, Ok Ok pt 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ok Ok pt 2 Context triple: [Ok Ok pt 2, hasTitle, Ok Ok pt 2]
-
A.
Pami Dua
Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
-
B.
Okak
Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
-
C.
Kokovoko
Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
-
D.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
-
E.
Uka Uka
Uka Uka is an evil, sentient witch doctor mask and one of the primary villains in the Crash Bandicoot video game series, often masterminding schemes to conquer the world.
- 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: Ok Ok pt 2 Triple: [Ok Ok pt 2, hasTitle, Ok Ok pt 2]
Generated description
"Ok Ok pt 2" is likely a follow-up or sequel work—such as a song, EP, or other media piece—building on an earlier release titled "Ok Ok."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ok Ok pt 2 Target entity description: "Ok Ok pt 2" is likely a follow-up or sequel work—such as a song, EP, or other media piece—building on an earlier release titled "Ok Ok."
-
A.
Ok Ok pt 2
chosen
"Ok Ok pt 2" is a track from Kanye West’s album *Donda*, serving as an alternate, extended version of the song "Ok Ok."
-
B.
Pami Dua
Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
-
C.
Okak
Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
-
D.
Kokovoko
Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
-
E.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
- F. None of above.
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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a951e688190b3e35909affd3bfd |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deac96b48190a65799e35a7b166e |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1e2d8b54081908e73fbcc0062eacb |
completed | March 11, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e32f85e08190b6355ab4681b11e8 |
completed | March 11, 2026, 9:48 p.m. |
Created at: March 8, 2026, 3 p.m.