Triple
T12382669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timeless |
E295780
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | For the Road |
E976747
|
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: For the Road | Statement: [Timeless, hasPart, For the Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For the Road Context triple: [Timeless, hasPart, For the Road]
-
A.
For The Road
chosen
"For The Road" is a song featured on the album "Timeless."
-
B.
Coming of the Roads
"Coming of the Roads" is a folk song by American songwriter Billy Edd Wheeler that poignantly reflects on the impact of industrialization and the arrival of modern infrastructure on rural life.
-
C.
High Road
High Road is a work—likely a film, television production, or stage play—associated with Scottish actor John Stahl, known for his roles in British drama.
-
D.
High Road
High Road is a pop album by American singer Kesha that blends upbeat party anthems with more introspective tracks, marking a return to her earlier carefree sound while retaining emotional depth.
-
E.
Rolling Road
Rolling Road is a major north–south thoroughfare in Northern Virginia that serves residential communities and connects with several key regional routes.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbb3a2481908c2fcb5e6488eb3c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634760210819080bc0261aa059132 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.