Triple
T5712851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Trey Gangsta Bloods |
E125948
|
entity |
| Predicate | notableCaseYear |
P66030
|
FINISHED |
| Object | 2018 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 2018 | Statement: [Nine Trey Gangsta Bloods, notableCaseYear, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCaseYear Context triple: [Nine Trey Gangsta Bloods, notableCaseYear, 2018]
-
A.
notableCaseDate
Indicates the date on which a particular case or legal matter became notable or was formally recognized as significant.
-
B.
notableSupremeCourtCase
Indicates that a legal case is recognized as a significant or influential decision by the Supreme Court.
-
C.
convictionYear
Indicates the calendar year in which an entity was formally convicted of an offense.
-
D.
limitedByCourtCaseYear
Indicates that the applicability or validity of something is constrained or restricted based on the year of a specific court case.
-
E.
notableAccidentYear
Indicates the year in which a notable accident involving the subject occurred.
- F. None of above. chosen
Provenance (4 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:46 p.m.