Triple
T13059392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Far Gone |
E329159
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Little Bit |
E1003005
|
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: Little Bit | Statement: [So Far Gone, hasPart, Little Bit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Bit Context triple: [So Far Gone, hasPart, Little Bit]
-
A.
Little Bit
chosen
"Little Bit" is an indie pop song by Swedish singer-songwriter Lykke Li, known for its minimalist production and intimate, melancholic vocals.
-
B.
Little Bitty
"Little Bitty" is a popular 1996 country song by Alan Jackson known for its upbeat tempo and celebration of simple, everyday joys.
-
C.
Little One
Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
-
D.
Little One
"Little One" is a song by the American rock band E.S.P., known as one of the tracks in their musical catalog.
-
E.
Little Dot
Little Dot is a classic Harvey Comics character, a young girl humorously obsessed with collecting and surrounding herself with dots and round shapes.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe259408190a7e88482c96f24a9 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.