Triple
T6471150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Barlow |
E142353
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | A Million Love Songs |
E181359
|
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: A Million Love Songs | Statement: [Gary Barlow, notableWork, A Million Love Songs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Million Love Songs Context triple: [Gary Barlow, notableWork, A Million Love Songs]
-
A.
A Million Love Songs
chosen
"A Million Love Songs" is a romantic pop ballad by British boy band Take That, released in 1992 and known for its soulful melody and heartfelt lyrics.
-
B.
One in a Million
"One in a Million" is Aaliyah's influential 1996 R&B album that helped redefine the genre with its innovative production and smooth, futuristic sound.
-
C.
One in a Million
"One in a Million" is an R&B song by American singer-songwriter Ne-Yo, known for its smooth production and romantic lyrics.
-
D.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
E.
A Love Song
"A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2fd4248190a789bf0301e2860a |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6539c93c481909bed35b68ce420d8 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:50 p.m.