Triple
T20790680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Enterprise (NCC-1701-D) |
E511764
|
entity |
| Predicate | notableStory |
P7331
|
FINISHED |
| Object | The Best of Both Worlds |
—
|
NE NERFINISHED |
How this triple was built (3 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: The Best of Both Worlds | Statement: [USS Enterprise (NCC-1701-D), notableStory, The Best of Both Worlds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Best of Both Worlds Context triple: [USS Enterprise (NCC-1701-D), notableStory, The Best of Both Worlds]
-
A.
The Best of Both Worlds
"The Best of Both Worlds" is the iconic pop theme song performed by Miley Cyrus for the Disney Channel series Hannah Montana, celebrating the show's double-life premise.
-
B.
Save the Best for Last
"Save the Best for Last" is a 1992 pop and R&B ballad by Vanessa Williams that became one of her signature hits, known for its romantic lyrics and chart-topping success.
-
C.
We’ve Saved the Best for Last
"We’ve Saved the Best for Last" is a song by the American rock band Silhouette.
-
D.
The best or nothing
"The best or nothing" is the brand slogan of Mercedes-Benz, expressing its commitment to uncompromising quality, luxury, and engineering excellence.
-
E.
The World's Greatest
"The World's Greatest" is an inspirational R&B song by R. Kelly, best known for its uplifting lyrics about perseverance and self-belief.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Best of Both Worlds Target entity description: "The Best of Both Worlds" is a landmark two-part Star Trek: The Next Generation episode in which Captain Picard is assimilated by the Borg, leading to one of the franchise’s most famous cliffhangers.
-
A.
The Best of Both Worlds
"The Best of Both Worlds" is the iconic pop theme song performed by Miley Cyrus for the Disney Channel series Hannah Montana, celebrating the show's double-life premise.
-
B.
Save the Best for Last
"Save the Best for Last" is a 1992 pop and R&B ballad by Vanessa Williams that became one of her signature hits, known for its romantic lyrics and chart-topping success.
-
C.
We’ve Saved the Best for Last
"We’ve Saved the Best for Last" is a song by the American rock band Silhouette.
-
D.
The best or nothing
"The best or nothing" is the brand slogan of Mercedes-Benz, expressing its commitment to uncompromising quality, luxury, and engineering excellence.
-
E.
The World's Greatest
"The World's Greatest" is an inspirational R&B song by R. Kelly, best known for its uplifting lyrics about perseverance and self-belief.
- F. None of above. chosen
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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c29010508190bf2cf577d7f64754 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.