Triple
T16082745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girlfriend |
E390149
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | *NSYNC |
E92988
|
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: *NSYNC | Statement: [Girlfriend, performer, *NSYNC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: *NSYNC Context triple: [Girlfriend, performer, *NSYNC]
-
A.
NSYNC
chosen
NSYNC is an American boy band that rose to fame in the late 1990s and early 2000s with pop hits and elaborate performances, becoming one of the era’s most popular musical acts.
-
B.
Backstreet Boys
Backstreet Boys are an American vocal harmony boy band that rose to global fame in the late 1990s with pop hits like "I Want It That Way" and "Everybody (Backstreet's Back)."
-
C.
New Kids on the Block
New Kids on the Block is an American pop boy band that rose to fame in the late 1980s and early 1990s with a string of hit singles and massive commercial success.
-
D.
Back Street
Back Street is a 1961 romantic drama film starring John Gavin, based on Fannie Hurst’s novel about a woman who becomes the lifelong mistress of a married man.
-
E.
Back Street
Back Street is one of the main commercial streets in Philipsburg, Sint Maarten, known for its shops, local businesses, and proximity to the town’s waterfront attractions.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1844cc30481909fd6e56391d09edb |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170db6c6881908f5670c8282f4097 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 4:59 a.m.