Triple
T5078228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Etting |
E114449
|
entity |
| Predicate | performerOf |
P1363
|
FINISHED |
| Object | Mean to Me |
E491720
|
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: Mean to Me | Statement: [Ruth Etting, performerOf, Mean to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mean to Me Context triple: [Ruth Etting, performerOf, Mean to Me]
-
A.
Mean to Me
chosen
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
-
B.
It Matters to Me
"It Matters to Me" is a 1995 country song and hit single by American singer Faith Hill, known for its emotional lyrics and strong vocal performance.
-
C.
Good to Be Me
"Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
-
D.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
E.
You and Me
"You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f632788190ac4fd047e1a20485 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba6be1248190bad40b869c8d0820 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:39 p.m.