Triple
T18047604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madness, Money & Music |
E431824
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Don’t Need Your Word |
—
|
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: I Don’t Need Your Word | Statement: [Madness, Money & Music, hasPart, I Don’t Need Your Word]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Don’t Need Your Word Context triple: [Madness, Money & Music, hasPart, I Don’t Need Your Word]
-
A.
I Don’t Need Your Word
chosen
"I Don’t Need Your Word" is a song by the artist Best Kept Secret.
-
B.
I Don't Need It
"I Don't Need It" is a song by the American R&B singer-songwriter Intuition.
-
C.
I Don’t Need You
"I Don’t Need You" is a song recorded by Kenny Rogers, best known as a soft country-pop ballad from his early 1980s repertoire.
-
D.
Don't Need Your Love
"Don't Need Your Love" is a segment or component featured within the film "The Documentary."
-
E.
Don’t Need Friends
"Don’t Need Friends" is a track by rapper Lil Uzi Vert featured on their 2020 album *Eternal Atake (Deluxe) – LUV vs. The World 2*, showcasing their melodic trap style and introspective lyrics.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff2d3c48190875ffe9c042d3ec0 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.