Triple
T19666599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weld |
E472215
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Needle and the Damage Done |
—
|
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: Needle and the Damage Done | Statement: [Weld, includesSong, Needle and the Damage Done]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Needle and the Damage Done Context triple: [Weld, includesSong, Needle and the Damage Done]
-
A.
The Needle and the Damage Done
chosen
"The Needle and the Damage Done" is a poignant acoustic song by Neil Young that reflects on the destructive impact of heroin addiction on musicians and friends.
-
B.
Hurt So Bad
"Hurt So Bad" is a popular pop ballad best known for its smooth vocal harmonies and emotional delivery, widely associated with the American vocal group The Lettermen.
-
C.
I Don't Want to Hurt You
"I Don't Want to Hurt You" is a song by British pop singer Robbie Williams from his album *The Heavy Entertainment Show*.
-
D.
Hurt You
"Hurt You" is a song from the collaborative R&B album *Love, Marriage & Divorce* by Toni Braxton and Babyface.
-
E.
Hurt You
"Hurt You" is a dark, moody R&B track by The Weeknd featuring Gesaffelstein, known for its brooding production and themes of emotional detachment and regret.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641694e448190bc734c07ae2df024 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.