Triple
T6738954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratt |
E154024
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | You’re in Love |
E616678
|
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: You’re in Love | Statement: [Ratt, notableSong, You’re in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You’re in Love Context triple: [Ratt, notableSong, You’re in Love]
-
A.
You’re in Love
chosen
"You’re in Love" is a hard rock song by the American glam metal band Ratt, featured on their 1985 album "Invasion of Your Privacy."
-
B.
Still in Love with You
"Still in Love with You" is a soulful, blues-influenced rock ballad by Irish band Thin Lizzy, renowned for its emotional guitar work and heartfelt vocals.
-
C.
Falling in Love with You
"Falling in Love with You" is a song featured on Gary Moore's 1982 hard rock album "Corridors of Power."
-
D.
You Are Love
"You Are Love" is a romantic duet from the classic 1927 Jerome Kern and Oscar Hammerstein II musical *Show Boat*, celebrated as one of its central love songs.
-
E.
So in Love with You
"So in Love with You" is a romantic R&B song featured on K-Ci & JoJo’s 2001 album "Share Your Love."
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1866dbc81909483fbd5ed6a3ec8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a1aa948190b3e191c7be48ac0e |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:10 p.m.