Triple
T4176137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stankonia |
E86480
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object |
Toilet Tisha
"Toilet Tisha" is a song by the hip-hop duo OutKast from their acclaimed 2000 album *Stankonia*.
|
E418726
|
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: Toilet Tisha | Statement: [Stankonia, containsTrack, Toilet Tisha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toilet Tisha Context triple: [Stankonia, containsTrack, Toilet Tisha]
-
A.
Stoolbend
Stoolbend is the fictional Virginia town that serves as the primary setting for the animated television series "The Cleveland Show."
-
B.
The Bathroom
"The Bathroom" is a renowned Post-Impressionist interior scene by French painter Pierre Bonnard, celebrated for its intimate domestic atmosphere and luminous, color-rich depiction of light and space.
-
C.
The Tub
The Tub is an 1886 pastel and mixed-media artwork by Edgar Degas depicting a woman bathing, celebrated for its unusual overhead perspective and intimate, everyday subject.
-
D.
Tisha
Tisha is a feminine given name, often used as a diminutive or variant of names like Patricia or Letitia.
-
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: Toilet Tisha Triple: [Stankonia, containsTrack, Toilet Tisha]
Generated description
"Toilet Tisha" is a song by the hip-hop duo OutKast from their acclaimed 2000 album *Stankonia*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toilet Tisha Target entity description: "Toilet Tisha" is a song by the hip-hop duo OutKast from their acclaimed 2000 album *Stankonia*.
-
A.
Stoolbend
Stoolbend is the fictional Virginia town that serves as the primary setting for the animated television series "The Cleveland Show."
-
B.
The Bathroom
"The Bathroom" is a renowned Post-Impressionist interior scene by French painter Pierre Bonnard, celebrated for its intimate domestic atmosphere and luminous, color-rich depiction of light and space.
-
C.
The Tub
The Tub is an 1886 pastel and mixed-media artwork by Edgar Degas depicting a woman bathing, celebrated for its unusual overhead perspective and intimate, everyday subject.
-
D.
Tisha
Tisha is a feminine given name, often used as a diminutive or variant of names like Patricia or Letitia.
-
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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02eaa0d08190a3b805c64ef76a0c |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f564c9c8190bfc321c8ec2dac14 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b58330b1d48190a3af96d3c0e7aa1b |
completed | March 14, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b583ba1fd8819092b7fe73a17dc406 |
completed | March 14, 2026, 3:50 p.m. |
Created at: March 9, 2026, 3:45 p.m.