Triple
T14662744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2929 Productions |
E344285
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bubble |
E549253
|
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: Bubble | Statement: [2929 Productions, notableWork, Bubble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bubble Context triple: [2929 Productions, notableWork, Bubble]
-
A.
Bubble
Bubble is a quirky, childlike personal assistant in the British sitcom "Absolutely Fabulous," known for her eccentric outfits, malapropisms, and endearing incompetence.
-
B.
Bubble Act
The Bubble Act was a 1720 British law passed after the South Sea Bubble to restrict the formation of joint-stock companies and curb speculative financial schemes.
-
C.
The Bubble
chosen
The Bubble is a recording studio and music production facility co-founded by producer and engineer Frenchie Smith, known for its work with rock and alternative artists.
-
D.
Bubble Music
Bubble Music is a track associated with the artist Purple Haze, known for its atmospheric, melodic electronic sound.
-
E.
Bubbles
Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e4789481909a64622a1d284373 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.