Triple
T106680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once Again |
E2152
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Save Room |
E2156
|
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: Save Room | Statement: [Once Again, hasPart, Save Room]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save Room Context triple: [Once Again, hasPart, Save Room]
-
A.
Save Room
chosen
"Save Room" is a soulful R&B single by John Legend, known for its smooth melody and romantic lyrics.
-
B.
Lonely Room
"Lonely Room" is a dark, introspective solo number from the classic Rodgers and Hammerstein musical *Oklahoma!* that reveals the inner turmoil and longing of the character Jud Fry.
-
C.
Red Room
The Red Room is an elegant, historically significant parlor in the White House used for receptions and small gatherings, distinguished by its red décor and antique furnishings.
-
D.
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
-
E.
Savior
Savior is a Christian title for Jesus Christ, emphasizing his role as the divine redeemer who delivers humanity from sin and spiritual death.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256cac6d4819083b50c9c9d95e975 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27c030ddc8190af2ebb672237bf18 |
completed | Feb. 28, 2026, 5:24 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.