Triple
T19672020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In a World Like This |
E472355
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Nick Carter |
—
|
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: Nick Carter | Statement: [In a World Like This, producer, Nick Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Carter Context triple: [In a World Like This, producer, Nick Carter]
-
A.
Nick Carter
chosen
Nick Carter is an American singer and entertainer best known as a member of the pop boy band Backstreet Boys.
-
B.
Lance Bass
Lance Bass is an American singer, actor, and producer best known as a member of the boy band *NSYNC.
-
C.
Aaron Carter
Aaron Carter was an American pop singer and former child star who rose to fame in the late 1990s and early 2000s with hits like "I Want Candy" and appearances on Nickelodeon and Disney Channel.
-
D.
Brian Littrell
Brian Littrell is an American singer best known as one of the lead vocalists of the pop vocal group Backstreet Boys.
-
E.
Grant Michaels
Grant Michaels is a television producer best known for his work on the series "Places."
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416cb0bc8190ab27dd28eebb50e7 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.