Triple
T17438257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Build Me Up |
E424068
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Suit |
—
|
NE NERFINISHED |
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: [Build Me Up, album, Suit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suit Context triple: [Build Me Up, album, 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.
Bar suit
The Bar suit is Christian Dior’s iconic 1947 tailored jacket-and-skirt ensemble that epitomized the revolutionary “New Look” with its cinched waist and full, mid-calf skirt.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff584cc81908207c163f19ff972 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.