Triple
T20453203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blush |
E501707
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | To Love a 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: To Love a Boy | Statement: [Blush, hasPart, To Love a Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: To Love a Boy Context triple: [Blush, hasPart, To Love a Boy]
-
A.
To Love a Boy
chosen
"To Love a Boy" is an introspective indie-folk single by actress and singer-songwriter Maya Hawke, noted for its gentle melody and poetic, emotionally vulnerable lyrics.
-
B.
Like a Boy
"Like a Boy" is a 2007 R&B single by Ciara that explores gender double standards in relationships through a role-reversal concept and assertive lyrics.
-
C.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
D.
Mad About the Boy
"Mad About the Boy" is a popular 1932 torch song by English playwright and composer Noël Coward, known for its witty, bittersweet portrayal of unrequited love.
-
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 (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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.