Triple
T16679456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Train |
E405300
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Looking Back |
E1226295
|
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: Looking Back | Statement: [Night Train, hasTrack, Looking Back]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Looking Back Context triple: [Night Train, hasTrack, Looking Back]
-
A.
Looking Back
chosen
"Looking Back" is a song featured on the "Night Train" EP by the British rock band Keane.
-
B.
Look Back at It
"Look Back at It" is a popular hip-hop/R&B single by A Boogie wit da Hoodie known for its melodic style and interpolation of classic Michael Jackson songs.
-
C.
A Backward Glance
A Backward Glance is Edith Wharton’s autobiographical memoir, reflecting on her life, career, and social world in the late 19th and early 20th centuries.
-
D.
The Backward Look
"The Backward Look" is a poem by Seamus Heaney included in his 1972 collection *Wintering Out*, reflecting his characteristic blend of personal memory, landscape, and Irish cultural history.
-
E.
The Backward Look
The Backward Look is a work by Irish writer Frank O’Connor, best known for his insightful, character-driven short fiction.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6e74ec81909ea95c3e4b0113ab |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3e2ddc8190a59108cdf001dac2 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.