Triple
T22127027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me Home |
E546814
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Over Again |
—
|
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: Over Again | Statement: [Take Me Home, hasPart, Over Again]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Over Again Context triple: [Take Me Home, hasPart, Over Again]
-
A.
Over Again
chosen
"Over Again" is a dance/electronic track by French DJ and producer Michael Calfan, known for its uplifting, melodic house style.
-
B.
Love Again
Love Again is a 2023 romantic comedy-drama film starring Priyanka Chopra Jonas as a grieving woman who unexpectedly finds new love through a series of misdirected text messages.
-
C.
Love Again
"Love Again" is a reflective and emotionally charged poem by Philip Larkin that explores themes of aging, regret, and the complexities of romantic love.
-
D.
Love Again
Love Again is a soulful R&B song by Daniel Caesar, known for its smooth vocals and emotive, romantic lyricism.
-
E.
Love Again
Love Again is a pop song produced by Ian Kirkpatrick, known for its polished, hook-driven sound and contemporary chart appeal.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.