Triple
T18634471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet the Beatles! (US) |
E455506
|
entity |
| Predicate | sideOneTrack |
P25310
|
FINISHED |
| Object | This Boy |
—
|
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: This Boy | Statement: [Meet the Beatles! (US), sideOneTrack, This Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: This Boy Context triple: [Meet the Beatles! (US), sideOneTrack, This Boy]
-
A.
This Boy
chosen
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
B.
One Boy
"One Boy" is a romantic ballad from the 1960 Broadway musical *Bye Bye Birdie*, expressing a young woman's idealized feelings for a single special boy.
-
C.
Only a Boy
"Only a Boy" is a song featured on Rod Stewart’s 1981 album *Tonight I’m Yours*.
-
D.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
E.
My Boy
"My Boy" is a critically acclaimed song by New Zealand singer-songwriter Marlon Williams, showcasing his distinctive vocal style and emotive, genre-blending approach to modern folk and indie music.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc74d208190bfda63b5b0b160cd |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.