Triple
T4337892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nellyville |
E97506
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Suit |
E95533
|
NE 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: Suit | Statement: [Nellyville, followedBy, Suit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suit Context triple: [Nellyville, followedBy, Suit]
-
A.
Suit
chosen
Suit is a 2004 studio album by American rapper Nelly that showcases a smoother, more melodic and R&B-influenced side of his music.
-
B.
Suit & Tie
"Suit & Tie" is a 2013 R&B single by Justin Timberlake featuring Jay-Z, known for its smooth, retro-inspired production and marking Timberlake’s high-profile return to music.
-
C.
The Fit
The Fit is a literary work by British novelist and critic Philip Hensher, known for his sharp social observation and nuanced character portrayal.
-
D.
The Sufficient
The Sufficient is the English rendering of the title of "al-Kafi," a foundational Shi'a hadith collection compiled by Muhammad ibn Ya'qub al-Kulayni.
-
E.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516c621881909f094d040d4805e9 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0ace26881908cfc7950dc7a6cf8 |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.