Triple
T3563952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BODR |
E75399
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Big Subwoofer |
E369283
|
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 Subwoofer | Statement: [BODR, hasTrack, Big Subwoofer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Subwoofer Context triple: [BODR, hasTrack, Big Subwoofer]
-
A.
Big Subwoofer
chosen
Big Subwoofer is a powerful low-frequency loudspeaker designed to reproduce deep bass sounds in an audio system.
-
B.
Big Tank
Big Tank is a music producer known for crafting beats and overseeing production on various hip-hop and R&B projects.
-
C.
Big Bub
Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
-
D.
Big Mo
Big Mo is the fuzzy, orange, biscuit-loving mascot of the Montgomery Biscuits minor league baseball team, known for entertaining fans at their games.
-
E.
Big Mo
Big Mo is a nickname for Mighty Mo, a Samoan-New Zealander kickboxer and mixed martial artist known for his powerful punching and success in K-1 and other combat sports promotions.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a76c008190a2056b6d990776fe |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402e8628c81909913974602782b7a |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:21 p.m.