Triple
T20193330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ash Ketchum |
E493023
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object | Trip |
—
|
NE NERFINISHED |
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: [Ash Ketchum, rival, Trip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trip Context triple: [Ash Ketchum, rival, Trip]
-
A.
Trip
"Trip" is a 2018 R&B single by British singer Ella Mai that gained widespread popularity for its smooth production and emotionally vulnerable lyrics about complicated love.
-
B.
Trip
chosen
Trip is a masculine given name, often used as a nickname in English-speaking countries.
-
C.
Trip
Trip is a 2017 psychedelic R&B concept album by Jhené Aiko that explores themes of grief, healing, and spiritual journey.
-
D.
Tour
Tour is a prominent American chemist and nanotechnology researcher known for his pioneering work in molecular electronics, nanocars, and graphene-based materials.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7270081908ed8513a8363e9b1 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.