Triple
T9520379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amelia |
E229628
|
entity |
| Predicate | featuredOnAlbum |
P1995
|
FINISHED |
| Object | Travelogue |
E43680
|
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: Travelogue | Statement: [Amelia, featuredOnAlbum, Travelogue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travelogue Context triple: [Amelia, featuredOnAlbum, Travelogue]
-
A.
Travelogue
chosen
Travelogue is a 2002 double album by Joni Mitchell featuring orchestral reworkings of songs from across her career.
-
B.
Travelogue
Travelogue is the second studio album by British synth-pop band The Human League, showcasing their early experimental electronic sound before their mainstream commercial breakthrough.
-
C.
Travelling
Travelling is an episode of the BBC nature documentary series "The Private Life of Plants," focusing on how plants disperse and move to colonize new environments.
-
D.
Trip
Trip is a 2017 psychedelic R&B concept album by Jhené Aiko that explores themes of grief, healing, and spiritual journey.
-
E.
travelers’ tales
Travelers’ tales are often exaggerated or fantastical stories recounted by voyagers about distant lands, strange creatures, and extraordinary adventures.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9883c5c48190a6583921afe9730a |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c1f10748190a36d2092d593be97 |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 7:59 p.m.