Triple
T13725876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank Me Later |
E329151
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Over |
E294850
|
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: Over | Statement: [Thank Me Later, hasPart, Over]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Over Context triple: [Thank Me Later, hasPart, Over]
-
A.
Over
chosen
"Over" is a track from Will.i.am's 2007 hip hop/pop album "Songs About Girls."
-
B.
Over
"Over" is a country ballad by Blake Shelton that showcases his emotive vocals and storytelling about heartbreak and longing.
-
C.
Over
"Over" is a popular Afrobeats and hiplife song by Ghanaian music duo R2Bees.
-
D.
Age to Age
Age to Age is a landmark contemporary Christian music album by singer Amy Grant that helped establish her as a major crossover artist in the early 1980s.
-
E.
Arnett
Arnett is a surname most prominently associated with Canadian actor and comedian Will Arnett, known for roles in "Arrested Development" and various animated films.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.