Triple
T15408942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Miami 2 |
E368532
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Big Tyme |
E593482
|
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: Big Tyme | Statement: [Port of Miami 2, hasPart, Big Tyme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Tyme Context triple: [Port of Miami 2, hasPart, Big Tyme]
-
A.
Big Tyme
chosen
Big Tyme is a late-1980s hip hop album by Heavy D & the Boyz that helped establish the group’s mainstream success with its blend of upbeat party tracks and smooth rap.
-
B.
Big Time
"Big Time" is a 1986 funk-influenced art rock song by Peter Gabriel that satirically explores consumerism, ambition, and the excesses of 1980s culture.
-
C.
Big Time
Big Time is a 1989 American comedy film starring Arye Gross as a struggling comedian navigating the stand-up scene.
-
D.
Big Time
Big Time is a 2022 country-tinged indie rock album by American singer-songwriter Angel Olsen that explores themes of grief, love, and personal transformation.
-
E.
The Tymes
The Tymes are an American soul and R&B vocal group best known for their 1963 hit single "So Much in Love."
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.