Triple
T17881242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big World |
E447088
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | (It’s a) Big World |
E447088
|
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: (It’s a) Big World | Statement: [Big World, hasTrack, (It’s a) Big World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: (It’s a) Big World Context triple: [Big World, hasTrack, (It’s a) Big World]
-
A.
Big World (album)
chosen
Big World is a 1986 live-in-the-studio concept album by English musician Joe Jackson, noted for its ambitious three-sided LP format and socially observant songwriting.
-
B.
Make It Big
Make It Big is a stand-up comedy special by South African comedian Riaad Moosa, showcasing his observational humor and cultural commentary.
-
C.
There’s a World
"There’s a World" is a song performed by the character Gabe Goodman in the rock musical *Next to Normal*.
-
D.
I Want the World
"I Want the World" is a prominent musical number from the Broadway adaptation of Anne Rice’s Vampire Chronicles, showcasing the character Lestat’s ambition and dark charisma.
-
E.
Something Big
"Something Big" is a song featured on the country music album "Hard Promises" by Tom Petty and the Heartbreakers.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0e56bc819097649377b520de63 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a032123858c81908f85ff793a126e09 |
completed | May 12, 2026, 12:46 p.m. |
Created at: April 10, 2026, 10:18 a.m.