Triple
T13733575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For Emma, Forever Ago |
E329871
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Blindsided |
E329871
|
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: Blindsided | Statement: [For Emma, Forever Ago, hasTrack, Blindsided]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blindsided Context triple: [For Emma, Forever Ago, hasTrack, Blindsided]
-
A.
Blindsided
chosen
"Blindsided" is a melancholic, acoustic folk song by Bon Iver from his critically acclaimed debut album "For Emma, Forever Ago."
-
B.
Blindside
"Blindside" is a crime thriller novel by James Patterson that follows detective Michael Bennett as he investigates a series of high-stakes cases involving political intrigue and personal danger.
-
C.
Blindspot
"Blindspot" is an American crime drama television series centered on a mysterious, tattoo-covered woman whose body art contains clues to a vast conspiracy.
-
D.
Blind
"Blind" is a song by the American rock band SOS.
-
E.
Staring Down
"Staring Down" is a rock song by American alternative rock band Collective Soul, known for its melodic hooks and introspective lyrics.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d66cb088190be2621753d0a6740 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.