Triple
T18080983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Much in Love |
E432686
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Take That |
—
|
NE NERFINISHED |
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: Take That | Statement: [So Much in Love, performer, Take That]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take That Context triple: [So Much in Love, performer, Take That]
-
A.
Take That
chosen
Take That is a British pop group formed in Manchester in 1990, known for their chart-topping hits, elaborate live shows, and status as one of the UK’s most successful boy bands.
-
B.
Westlife
Westlife is an Irish pop vocal group best known for their string of late-1990s and 2000s chart-topping ballads and harmonies.
-
C.
Back Street
Back Street is one of the main commercial streets in Philipsburg, Sint Maarten, known for its shops, local businesses, and proximity to the town’s waterfront attractions.
-
D.
Back Street
Back Street is a 1961 romantic drama film starring John Gavin, based on Fannie Hurst’s novel about a woman who becomes the lifelong mistress of a married man.
-
E.
McFly
McFly is a British pop rock band known for their catchy melodies, chart-topping hits in the 2000s, and energetic live performances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fa080081909e1a05e98185a026 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.