Triple
T3566611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pi’erre Bourne |
E75463
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
TM88
TM88 is an American record producer and DJ best known for his work in trap music and collaborations with prominent hip-hop artists.
|
E369721
|
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: TM88 | Statement: [Pi’erre Bourne, associatedAct, TM88]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TM88 Context triple: [Pi’erre Bourne, associatedAct, TM88]
-
A.
Royal 88
Royal 88 is an alternate name for the Oldsmobile 88, a popular full-size American car produced by Oldsmobile from the late 1940s through the 1990s.
-
B.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
-
C.
Twenty88
Twenty88 is an R&B/hip-hop duo consisting of rapper Big Sean and singer Jhené Aiko, known for their collaborative concept project blending futuristic soul and relationship narratives.
-
D.
T8
T8 is a Sydney Trains suburban rail line serving the Airport, Inner South, and South Western suburbs of Sydney, Australia.
-
E.
Bonza
Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
- 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: TM88 Triple: [Pi’erre Bourne, associatedAct, TM88]
Generated description
TM88 is an American record producer and DJ best known for his work in trap music and collaborations with prominent hip-hop artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TM88 Target entity description: TM88 is an American record producer and DJ best known for his work in trap music and collaborations with prominent hip-hop artists.
-
A.
Royal 88
Royal 88 is an alternate name for the Oldsmobile 88, a popular full-size American car produced by Oldsmobile from the late 1940s through the 1990s.
-
B.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
-
C.
Twenty88
Twenty88 is an R&B/hip-hop duo consisting of rapper Big Sean and singer Jhené Aiko, known for their collaborative concept project blending futuristic soul and relationship narratives.
-
D.
T8
T8 is a Sydney Trains suburban rail line serving the Airport, Inner South, and South Western suburbs of Sydney, Australia.
-
E.
Bonza
Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0aa0fcc8190bc99df68d2bd9139 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbacbb1081908fc57168a8fc3ade |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bf78d6a881908d5bcc4ae50a76e5 |
completed | March 13, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b2fdcc8190842d2d7bd09c65c4 |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.