Triple
T8908496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partita for Orchestra |
E212121
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Giga Burlesca |
E765662
|
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: Giga Burlesca | Statement: [Partita for Orchestra, hasPart, Giga Burlesca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giga Burlesca Context triple: [Partita for Orchestra, hasPart, Giga Burlesca]
-
A.
Giga Burlesca
chosen
Giga Burlesca is a lively, dance-like orchestral movement known for its playful, burlesque character within the Partita for Orchestra.
-
B.
Orgy
Orgy is an American industrial rock band best known for their late-1990s fusion of electronic and metal elements and their hit cover of New Order’s “Blue Monday.”
-
C.
The Girlie Show
The Girlie Show is the fictional sketch-comedy television program at the center of the sitcom 30 Rock, serving as the workplace backdrop for Liz Lemon and her colleagues.
-
D.
Big Butt
Big Butt is a prominent mountain peak in the Black Mountains range of western North Carolina, known for its forested slopes and scenic hiking opportunities.
-
E.
Ms. Fat Booty
"Ms. Fat Booty" is a critically acclaimed hip-hop track by Mos Def known for its vivid storytelling and soulful production.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc65207bbc8190be181555b9564797 |
completed | April 1, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1cdfa6c8190af7b6312c73d59f9 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:55 p.m.