Triple
T13059640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room for Improvement |
E329163
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Tanya Morgan
Tanya Morgan is an American hip hop group known for their witty, soulful, and concept-driven rap music emerging from the mid-2000s underground scene.
|
E1110893
|
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: Tanya Morgan | Statement: [Room for Improvement, featuresArtist, Tanya Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Morgan Context triple: [Room for Improvement, featuresArtist, Tanya Morgan]
-
A.
Tanya Stephens
Tanya Stephens is a Jamaican reggae and dancehall singer-songwriter known for her socially conscious lyrics and influential presence in Caribbean music.
-
B.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
C.
Una Morgan
Una Morgan is a Jamaican singer and keyboardist best known as a member of the Grammy-winning reggae band Morgan Heritage.
-
D.
Kass Morgan
Kass Morgan is an American author best known for writing the young adult science fiction book series that inspired the television show "The 100."
-
E.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
- 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: Tanya Morgan Triple: [Room for Improvement, featuresArtist, Tanya Morgan]
Generated description
Tanya Morgan is an American hip hop group known for their witty, soulful, and concept-driven rap music emerging from the mid-2000s underground scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanya Morgan Target entity description: Tanya Morgan is an American hip hop group known for their witty, soulful, and concept-driven rap music emerging from the mid-2000s underground scene.
-
A.
Tanya Stephens
Tanya Stephens is a Jamaican reggae and dancehall singer-songwriter known for her socially conscious lyrics and influential presence in Caribbean music.
-
B.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
C.
Una Morgan
Una Morgan is a Jamaican singer and keyboardist best known as a member of the Grammy-winning reggae band Morgan Heritage.
-
D.
Kass Morgan
Kass Morgan is an American author best known for writing the young adult science fiction book series that inspired the television show "The 100."
-
E.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda8fd6f5081908de9a9e3df28a8ea |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdb187bf1c819098675af82ee70b5b |
completed | May 8, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb27fd90881909a938ecd227873b4 |
completed | May 8, 2026, 9:53 a.m. |
Created at: April 9, 2026, 8:58 p.m.