Triple
T4454919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before the Flood |
E97696
|
entity |
| Predicate | containsSong |
P20452
|
FINISHED |
| Object | Lay Lady Lay |
E113859
|
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: Lay Lady Lay | Statement: [Before the Flood, containsSong, Lay Lady Lay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lay Lady Lay Context triple: [Before the Flood, containsSong, Lay Lady Lay]
-
A.
Lay Lady Lay
chosen
"Lay Lady Lay" is a 1969 country-influenced love song by Bob Dylan, notable for his distinctive deep vocal delivery and prominent use of pedal steel guitar.
-
B.
Love To Lay
"Love To Lay" is a synth-driven R&B/pop track by The Weeknd from his 2016 album *Starboy*, known for its sleek production and themes of desire and emotional detachment.
-
C.
La-La-La
"La-La-La" is a musical composition by renowned American composer Richard Rodgers, best known for his influential contributions to 20th-century musical theatre.
-
D.
That La, La, La
"That La, La, La" is a dancehall-infused R&B song by Rihanna from her debut studio album, Music of the Sun.
-
E.
Lay All Your Love on Me
"Lay All Your Love on Me" is a synth-driven disco-pop song by ABBA, known for its dramatic vocals and enduring popularity in both music charts and musical theatre adaptations.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f79ca481909338dda9f4f7171f |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62822643c8190a0af89f2896fde3e |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.