Triple
T16003489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chase & Status |
E388151
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Tempa T
Tempa T is a British grime MC known for his aggressive delivery, high-energy performances, and the underground hit "Next Hype."
|
E1188077
|
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: Tempa T | Statement: [Chase & Status, collaboratedWith, Tempa T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tempa T Context triple: [Chase & Status, collaboratedWith, Tempa T]
-
A.
The Temp
The Temp is a film directed by Tom Holland, best known for his work in the horror genre, including the cult classic Fright Night.
-
B.
TEMPORA
TEMPORA is a British signals intelligence program run by GCHQ that intercepts and stores large volumes of internet and telecommunications data for analysis.
-
C.
Temoq
Temoq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
-
D.
Templetuohy
Templetuohy is a small rural village in County Tipperary, Ireland, known for its agricultural surroundings and local Gaelic games tradition.
-
E.
Tepiman
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
- 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: Tempa T Triple: [Chase & Status, collaboratedWith, Tempa T]
Generated description
Tempa T is a British grime MC known for his aggressive delivery, high-energy performances, and the underground hit "Next Hype."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tempa T Target entity description: Tempa T is a British grime MC known for his aggressive delivery, high-energy performances, and the underground hit "Next Hype."
-
A.
The Temp
The Temp is a film directed by Tom Holland, best known for his work in the horror genre, including the cult classic Fright Night.
-
B.
TEMPORA
TEMPORA is a British signals intelligence program run by GCHQ that intercepts and stores large volumes of internet and telecommunications data for analysis.
-
C.
Temoq
Temoq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
-
D.
Templetuohy
Templetuohy is a small rural village in County Tipperary, Ireland, known for its agricultural surroundings and local Gaelic games tradition.
-
E.
Tepiman
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fd753c819099707109e35540e1 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3dba8e08190b6b26ac9a6854e50 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc4dbec048190b58c7394b15645a1 |
completed | May 9, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5a5b46881908589fd1dabef5378 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:55 a.m.