Triple
T8903910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Lies |
E211999
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | White Lies |
E211999
|
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: White Lies | Statement: [White Lies, hasTitle, White Lies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Lies Context triple: [White Lies, hasTitle, White Lies]
-
A.
White Lies
chosen
"White Lies" is a song by British musician Mr Hudson that showcases his blend of pop, R&B, and electronic influences.
-
B.
The Temper Trap
The Temper Trap is an Australian indie rock band best known for their atmospheric sound and the hit single "Sweet Disposition."
-
C.
First Aid Kit
First Aid Kit is a Swedish folk duo of sisters Johanna and Klara Söderberg, known for their close harmonies and melancholic, Americana-inspired sound.
-
D.
The Kills
The Kills are an indie rock duo known for their minimalist, blues-influenced sound and raw, guitar-driven performances.
-
E.
Chvrches
Chvrches is a Scottish synth-pop band known for their atmospheric electronic sound, emotive vocals, and critically acclaimed albums like "The Bones of What You Believe."
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c2509881908fb692522d348e96 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1cb724c8190bc080d2a7f751e60 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:55 p.m.