Triple
T9701870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Loggins |
E234795
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Meet Me Half Way |
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 Half Way | Statement: [Kenny Loggins, notableWork, Meet Me Half Way]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meet Me Half Way Context triple: [Kenny Loggins, notableWork, Meet Me Half Way]
-
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.
Halfway
Halfway is a suburb and tram terminus area on the southeastern edge of Sheffield, England, serving as an endpoint for the city’s light rail network.
-
C.
You and Me
"You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
-
D.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
E.
Halfway There
"Halfway There" is a song by the American rock band Soundgarden from their 2012 reunion album *King Animal*, noted for its more melodic, introspective style compared to much of their heavier work.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d7283188190bd50e18f643ad0d3 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912e645881908d223a93f3ee61da |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.