Triple
T9396666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram |
E226159
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Long Haired Lady |
E225562
|
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: Long Haired Lady | Statement: [Ram, hasTrack, Long Haired Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long Haired Lady Context triple: [Ram, hasTrack, Long Haired Lady]
-
A.
Long Haired Lady
chosen
"Long Haired Lady" is a melodic pop-rock song by Paul McCartney from his 1971 album *Ram*, noted for its lush harmonies and multi-part structure.
-
B.
My Beautiful Lady
My Beautiful Lady is a Victorian-era narrative poem by sculptor and poet Thomas Woolner, known for its romantic and sentimental portrayal of love and loss.
-
C.
My Sweet Lady
"My Sweet Lady" is a song best known from John Denver’s repertoire, featured on his compilation album "Ten Years of Gold."
-
D.
My Lady
"My Lady" is a formal, respectful mode of address traditionally used when speaking to or about a woman of noble rank, such as a marchioness.
-
E.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
- 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_69d107949fe4819089f68a2c368af82f |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:46 p.m.