Triple
T1787148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The E.N.D. |
E39417
|
entity |
| Predicate | mainSingle |
P16320
|
FINISHED |
| Object | Meet Me Halfway |
E39410
|
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: Meet Me Halfway | Statement: [The E.N.D., mainSingle, Meet Me Halfway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meet Me Halfway Context triple: [The E.N.D., mainSingle, Meet Me Halfway]
-
A.
Meet Me Halfway
chosen
"Meet Me Halfway" is a 2009 electro-pop and R&B single by the Black Eyed Peas, known for its melodic chorus and prominent use of synth-driven production.
-
B.
Part of Me
"Part of Me" is a song by Christina Aguilera from her 2010 album *Bionic*, known for its electronic pop sound and introspective lyrics.
-
C.
Part of Me
"Part of Me" is a 2012 3D concert documentary film that follows pop star Katy Perry on her California Dreams Tour while blending live performances with behind-the-scenes footage of her personal and professional life.
-
D.
So Much More
"So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
-
E.
Song to Song
Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650ea238819093a15df6f9d73e2d |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9a4ee9c8190a6cdb5df16a48711 |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:32 p.m.