Triple
T5644074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donny Osmond |
E124339
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Puppy Love |
E407365
|
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: Puppy Love | Statement: [Donny Osmond, notableWork, Puppy Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puppy Love Context triple: [Donny Osmond, notableWork, Puppy Love]
-
A.
Puppy Love
chosen
"Puppy Love" is a 1960 pop song by Paul Anka, famous as a sentimental teen romance ballad that became one of his signature hits.
-
B.
Young Love
Young Love is an American electronic rock band known for its danceable, synth-driven sound and emotionally charged lyrics.
-
C.
Baby Love
"Baby Love" is a 1964 Motown hit single by The Supremes that became one of their signature songs and a defining track of the girl-group era.
-
D.
Sweetie
Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
-
E.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a7cd9c819087f86f60e8b65fc3 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d80396c81909e26da3b5ca5ea34 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.