Triple
T3172509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrence J |
E66385
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Burlesque |
E51475
|
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: Burlesque | Statement: [Terrence J, appearedIn, Burlesque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burlesque Context triple: [Terrence J, appearedIn, Burlesque]
-
A.
Show Me How You Burlesque
"Show Me How You Burlesque" is an upbeat, dance-driven pop song performed by Christina Aguilera on the soundtrack of the 2010 musical film "Burlesque."
-
B.
Burlesque (2010 film)
chosen
Burlesque (2010 film) is a musical drama centered on a small-town singer who finds fame and love at a struggling Los Angeles burlesque club.
-
C.
Showgirls: The Musical
Showgirls: The Musical is a stage adaptation of the cult 1995 film "Showgirls," reimagined as a campy, satirical musical comedy.
-
D.
The Burlesque Lounge
The Burlesque Lounge is a fictional Los Angeles neo-burlesque club that serves as the central setting of the musical film "Burlesque."
-
E.
Bananza (Belly Dancer)
"Bananza (Belly Dancer)" is a 2005 dancehall-influenced R&B single by Akon known for its playful, rhythmic beat and club-oriented lyrics.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66da23c81908f063b44b48b1e53 |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235e9f04c8190933e893e59e9f342 |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.