Triple
T5078204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Etting |
E114449
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mean to Me
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
|
E491720
|
NE FINISHED |
How this triple was built (4 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, notableWork, Mean to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mean to Me Context triple: [Ruth Etting, notableWork, Mean to Me]
-
A.
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.
-
B.
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.
-
C.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
D.
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.
-
E.
Life to Me
"Life to Me" is a song featured on the debut studio album *The 18th Day* by British singer-songwriter Estelle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mean to Me Triple: [Ruth Etting, notableWork, Mean to Me]
Generated description
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mean to Me Target entity description: "Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
-
A.
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.
-
B.
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.
-
C.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
D.
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.
-
E.
Life to Me
"Life to Me" is a song featured on the debut studio album *The 18th Day* by British singer-songwriter Estelle.
- F. None of above. chosen
Provenance (5 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_69beb12bd7288190b66ac606aebcabca |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb19325fc8190b768b8bd27eb0d7c |
completed | March 21, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb23f789c8190811ee9e43327196c |
completed | March 21, 2026, 2:59 p.m. |
Created at: March 20, 2026, 1:39 p.m.