Triple
T19607753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indigo Girls |
E470648
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Closer to Fine (song) |
—
|
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: Closer to Fine (song) | Statement: [Indigo Girls, notableWork, Closer to Fine (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Closer to Fine (song) Context triple: [Indigo Girls, notableWork, Closer to Fine (song)]
-
A.
Closer to Fine
chosen
"Closer to Fine" is a 1989 folk-rock song by the Indigo Girls that became their signature hit, known for its rich harmonies and introspective, philosophical lyrics.
-
B.
Even Closer
Even Closer is a neo-soul/R&B album by American singer-songwriter Goapele that helped establish her as a distinctive voice in contemporary soul music.
-
C.
So Close
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
-
D.
So Close
"So Close" is a popular electronic dance track by German DJ and producer Felix Jaehn, known for its catchy melody and radio-friendly sound.
-
E.
Closer
"Closer" is a 2008 dance-pop and R&B single by American singer Ne-Yo that became one of his biggest international hits.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c8aae8819086337e364724f1cb |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.