Triple
T9396660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram |
E226159
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Dear Boy |
E225556
|
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: Dear Boy | Statement: [Ram, hasTrack, Dear Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Boy Context triple: [Ram, hasTrack, Dear Boy]
-
A.
Dear Boy
chosen
"Dear Boy" is a song by the Indian musician Ram.
-
B.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
C.
One of the Boys
"One of the Boys" is the 2008 major-label breakthrough pop album by Katy Perry, featuring hits like "I Kissed a Girl" and "Hot n Cold" that established her international fame.
-
D.
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.
-
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 (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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10114e4d08190b4f465f9e56f9ffd |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:46 p.m.