Triple
T18993435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Stand Alone |
E464746
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Old Blue |
—
|
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: Old Blue | Statement: [I Stand Alone, hasTrack, Old Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Blue Context triple: [I Stand Alone, hasTrack, Old Blue]
-
A.
Old Blue
chosen
"Old Blue" is a traditional folk song popularized by American singer Joan Baez on her album "Joan Baez, Vol. 2."
-
B.
Old Blue
Old Blue was the last remaining fertile female Chatham Island black robin whose breeding success in the 1980s saved her species from near extinction.
-
C.
Girl Blue
"Girl Blue" is a soulful, jazz-inflected R&B song by Stevie Wonder from his acclaimed 1972 album *Music of My Mind*.
-
D.
Blue Lou
"Blue Lou" is a classic swing-era jazz standard, widely performed and recorded by big bands in the 1930s and beyond.
-
E.
Boy Blue
Boy Blue is a central character in the "Fables" comic series, portrayed as a seemingly mild-mannered office worker who is actually a brave, resourceful hero with a storied past in the Homelands.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67fc90081908f51668620fdc60a |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.