Triple
T1602526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take That |
E34425
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | How Deep Is Your Love |
E96600
|
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: How Deep Is Your Love | Statement: [Take That, notableWork, How Deep Is Your Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Deep Is Your Love Context triple: [Take That, notableWork, How Deep Is Your Love]
-
A.
How Deep Is Your Love
chosen
"How Deep Is Your Love" is a soft rock ballad by the Bee Gees, widely recognized as one of their signature hits and a classic of the late 1970s.
-
B.
Only You
"Only You" is a 1996 hip hop and R&B single by 112 featuring The Notorious B.I.G. and Mase, widely recognized as one of Bad Boy Records' signature hits of the 1990s.
-
C.
Dreamlover
"Dreamlover" is a 1993 pop/R&B song by Mariah Carey that became one of her signature hits, noted for its catchy melody and prominent use of a Tom Tom Club sample.
-
D.
The Colour of My Love
The Colour of My Love is a commercially successful and critically acclaimed pop album by Canadian singer Celine Dion, featuring some of her most iconic 1990s ballads.
-
E.
In Too Deep
In Too Deep is a 1999 crime thriller film about an undercover cop infiltrating a powerful drug syndicate, in which Michael Beach plays a supporting role.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62292d1c819080b597199dc6b8d5 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46ad15b081908b59df18224c7a8f |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:28 p.m.