Triple
T23374087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emotions era |
E593556
|
entity |
| Predicate | chartSuccessWith |
P56605
|
FINISHED |
| Object | Make It Happen |
—
|
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: Make It Happen | Statement: [Emotions era, chartSuccessWith, Make It Happen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make It Happen Context triple: [Emotions era, chartSuccessWith, Make It Happen]
-
A.
Make It Happen
chosen
"Make It Happen" is a song featured on the album *Emotions* by Mariah Carey.
-
B.
Make It Happen
Make It Happen is a music album titled to evoke determination and proactive energy, associated with the artist or project known as More Love.
-
C.
Let It Happen
"Let It Happen" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
D.
Let It Happen
"Let It Happen" is a critically acclaimed psychedelic synth-pop track by Tame Impala, known for its sprawling, hypnotic production and exploration of surrendering to change.
-
E.
Let It Happen
Let It Happen is a compilation album by the American Christian punk band MxPx, featuring a collection of B-sides, rarities, and previously unreleased tracks.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b1d24881909945936cbf00876e |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.