Triple
T382297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamma Mia! |
E8705
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Mamma Mia |
E8705
|
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: Mamma Mia | Statement: [Mamma Mia!, featuresSong, Mamma Mia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamma Mia Context triple: [Mamma Mia!, featuresSong, Mamma Mia]
-
A.
Mamma Mia!
chosen
Mamma Mia! is a popular jukebox musical film (and stage show) built around the songs of ABBA, centered on a young woman’s search for her father on a Greek island.
-
B.
Dreamgirls
Dreamgirls is a 2006 musical drama film, adapted from the Broadway stage musical, that follows the rise of a 1960s girl group and is widely known for its powerful performances and music.
-
C.
Into the Woods
Into the Woods is a 2014 musical fantasy film adaptation of the Stephen Sondheim stage musical, intertwining several classic fairy tales in a darkly comedic and emotionally complex narrative.
-
D.
Love Actually
Love Actually is a 2003 British romantic comedy film that interweaves multiple love stories set in the weeks leading up to Christmas in London.
-
E.
Notting Hill
Notting Hill is a 1999 romantic comedy film set in London, starring Hugh Grant and Julia Roberts, that follows the unlikely love story between a shy bookshop owner and a famous American actress.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2e3d5c8190b358bd9fd6b16a14 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fb0100fc8190819b977bb7a98d7f |
completed | March 1, 2026, 8:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.