Triple
T7160414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Everett |
E166927
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Let It Be Me |
E490536
|
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: Let It Be Me | Statement: [Betty Everett, notableWork, Let It Be Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let It Be Me Context triple: [Betty Everett, notableWork, 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.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
C.
Let Me Be Lonely
"Let Me Be Lonely" is a song by Dionne Warwick that appeared as the B-side to her 1968 hit single "Do You Know the Way to San Jose."
-
D.
Everything to Me
"Everything to Me" is an R&B ballad by American singer Monica that showcases her powerful vocals and emotional storytelling about love and devotion.
-
E.
It's Gonna Be Me
"It's Gonna Be Me" is a 2000 pop song by American boy band *NSYNC, best known for its catchy hook, chart-topping success, and enduring status as an internet meme each April 30th.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82ce770819081dccf7ffd50c2ab |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc08b688190a00024727542c8b9 |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:47 p.m.