Triple
T13059587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What a Time to Be Alive |
E329162
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | 30 for 30 Freestyle |
E37945
|
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: 30 for 30 Freestyle | Statement: [What a Time to Be Alive, hasPart, 30 for 30 Freestyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 30 for 30 Freestyle Context triple: [What a Time to Be Alive, hasPart, 30 for 30 Freestyle]
-
A.
Famlay Freestyle
"Famlay Freestyle" is a bonus track by rapper Fam-Lay featured on Clipse's debut album "Lord Willin'."
-
B.
Freestyle 4
"Freestyle 4" is an aggressive, experimental hip-hop track by Kanye West from his 2016 album *The Life of Pablo*, known for its dark, chaotic production and stream-of-consciousness delivery.
-
C.
30 for 30
chosen
30 for 30 is an acclaimed ESPN documentary film series that explores pivotal stories, personalities, and events in sports history.
-
D.
Free (Remix)
"Free (Remix)" is a remixed version of a track featured on Gemma Hayes's debut album *The 18th Day*.
-
E.
Triggered (freestyle)
"Triggered (freestyle)" is an emotionally raw, introspective R&B track by Jhené Aiko that explores heartbreak, anger, and healing after a painful relationship.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe259408190a7e88482c96f24a9 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.