Triple
T8891034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Need More |
E211670
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Glad All Over |
E763763
|
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: Glad All Over | Statement: [I Need More, partOf, Glad All Over]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glad All Over Context triple: [I Need More, partOf, Glad All Over]
-
A.
Glad All Over
chosen
"Glad All Over" is a 1964 rock and roll album by The Dave Clark Five that helped establish the band as major figures in the British Invasion.
-
B.
Smilin' Through
Smilin' Through is a romantic drama film, best known in its 1932 MGM adaptation, about enduring love and loss across generations.
-
C.
It's All Good
"It's All Good" is a song by Bob Dylan that appears on his 2009 album *Together Through Life*, reflecting the record’s blues-infused, roots-rock style.
-
D.
Gladfest
Gladfest is an annual community festival in Gladstone, Missouri, featuring family-friendly entertainment, food, and local vendors.
-
E.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc619188508190aacda410f0b4c98d |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba1e46a48190b7a559f9d9bd348d |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.