Triple
T16554813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Be Good to Me |
E402167
|
entity |
| Predicate | hasCoverVersionBy |
P11142
|
FINISHED |
| Object | Faithless |
E961404
|
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: Faithless | Statement: [Just Be Good to Me, hasCoverVersionBy, Faithless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faithless Context triple: [Just Be Good to Me, hasCoverVersionBy, Faithless]
-
A.
Faithless
Faithless is a 2000 Swedish drama film directed by Liv Ullmann from a script by Ingmar Bergman, exploring themes of infidelity, memory, and guilt.
-
B.
Faithless
chosen
Faithless is a British electronic music group best known for their influential blend of dance, trance, and trip-hop, including hits like "Insomnia" and "God Is a DJ."
-
C.
Faithless
"Faithless" is a song by American rock band Black Veil Brides, known for its anthemic style and themes of resilience and defiance.
-
D.
Zero 7
Zero 7 is a British downtempo music duo known for their mellow, atmospheric sound and collaborations with vocalists like Sia and José González.
-
E.
Keane
Keane is a surname of Irish origin borne by numerous notable figures in fields such as sports, arts, and entertainment.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc887e881909607653df7fe71be |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ba4bec81909dfa87bcd2bfa7be |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.