Triple
T12382194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aye |
E295770
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
T-Spize
T-Spize is a Nigerian music producer known for crafting hit Afrobeat and contemporary pop tracks for prominent artists.
|
E976736
|
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: T-Spize | Statement: [Aye, producer, T-Spize]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-Spize Context triple: [Aye, producer, T-Spize]
-
A.
T-Sizzle
T-Sizzle is the popular nickname of Terrell Suggs, a dominant NFL linebacker best known for his long, impactful career with the Baltimore Ravens.
-
B.
T-Spoon
T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
-
C.
Spinnerette
Spinnerette is an alternative rock project fronted by Brody Dalle, known for its gritty, punk-influenced sound and ties to the Los Angeles rock scene.
-
D.
Tzurulum
Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
-
E.
Twist
"Twist" is a modern film adaptation of Charles Dickens' classic novel "Oliver Twist," featuring Rafferty Law in a leading role.
- 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: T-Spize Triple: [Aye, producer, T-Spize]
Generated description
T-Spize is a Nigerian music producer known for crafting hit Afrobeat and contemporary pop tracks for prominent artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T-Spize Target entity description: T-Spize is a Nigerian music producer known for crafting hit Afrobeat and contemporary pop tracks for prominent artists.
-
A.
T-Sizzle
T-Sizzle is the popular nickname of Terrell Suggs, a dominant NFL linebacker best known for his long, impactful career with the Baltimore Ravens.
-
B.
T-Spoon
T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
-
C.
Spinnerette
Spinnerette is an alternative rock project fronted by Brody Dalle, known for its gritty, punk-influenced sound and ties to the Los Angeles rock scene.
-
D.
Tzurulum
Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
-
E.
Twist
"Twist" is a modern film adaptation of Charles Dickens' classic novel "Oliver Twist," featuring Rafferty Law in a leading role.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbb3a2481908c2fcb5e6488eb3c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac5b46c81908d419e09f5629c37 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62c586ee8819082421b87572d5f1b |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62caa8dbc8190ac233f4913159746 |
completed | May 2, 2026, 4:56 p.m. |
Created at: April 8, 2026, 9:54 p.m.