Triple
T18625663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flowing Rivers |
E455276
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Let It Be Me |
—
|
NE NERFINISHED |
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: Let It Be Me | Statement: [Flowing Rivers, hasPart, Let It Be Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let It Be Me Context triple: [Flowing Rivers, hasPart, Let It Be Me]
-
A.
Let It Be Me
chosen
"Let It Be Me" is a song best known as a romantic pop ballad popularized in English by the Everly Brothers, adapted from the French song "Je t'appartiens."
-
B.
Let Me Be
"Let Me Be" is a pop song by American singer Britney Spears from her 2001 album "Britney."
-
C.
Leave Me Be
"Leave Me Be" is a 1964 single by British rock band The Zombies, showcasing their early melodic pop sound and distinctive harmonies.
-
D.
It Will Be Me
"It Will Be Me" is a pop song recorded by *NSYNC that appears as a B-side to their single "Breathe."
-
E.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f04d0cc81909c3c6022c5dfdb63 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.