Triple
T3233801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhené Aiko |
E67802
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Trip |
E339480
|
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: Trip | Statement: [Jhené Aiko, notableAlbum, Trip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trip Context triple: [Jhené Aiko, notableAlbum, Trip]
-
A.
Trip
chosen
Trip is a 2017 psychedelic R&B concept album by Jhené Aiko that explores themes of grief, healing, and spiritual journey.
-
B.
Travelogue
Travelogue is a 2002 double album by Joni Mitchell featuring orchestral reworkings of songs from across her career.
-
C.
Trave
The Trave is a river in northern Germany that flows through the state of Schleswig-Holstein to the Baltic Sea, notably passing through the city of Lübeck.
-
D.
Travel + Leisure
Travel + Leisure is a prominent American travel magazine and media brand known for its destination guides, hotel and airline rankings, and lifestyle travel content.
-
E.
Travelers
Travelers is a major American insurance brand known for providing a wide range of property and casualty insurance products to individuals and businesses.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedcd9588190b3623f0109d653a4 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ea696a08190a17cbeeef7632977 |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:08 p.m.