Triple
T4453401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please Please Me |
E97666
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Boys |
E374878
|
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: Boys | Statement: [Please Please Me, hasPart, Boys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boys Context triple: [Please Please Me, hasPart, Boys]
-
A.
Boys
chosen
"Boys" is an early rock and roll song best known for its energetic recording by The Beatles, featuring Ringo Starr on lead vocals.
-
B.
Boy
"Boy" is the debut studio album by Irish rock band U2, known for its youthful themes and introducing the band's distinctive post-punk sound.
-
C.
Boy
Boy is a mysterious feral child with hidden powers who becomes a central companion and key figure in the animated series "Pacific Rim: The Black."
-
D.
Girls
"Girls" is a song by the Beastie Boys from their influential debut album "Licensed to Ill," known for its minimalist production and controversial, tongue-in-cheek lyrics about gender roles.
-
E.
Girls
Girls is an HBO comedy-drama television series created by and starring Lena Dunham that follows a group of young women navigating life and relationships in New York City.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f49dc081908727af81b886c08d |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6138ea77881908381e9ea8ad2b7fe |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:33 p.m.