Triple
T4567862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arriving |
E121952
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Arriving |
E121952
|
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: Arriving | Statement: [Arriving, hasTitle, Arriving]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arriving Context triple: [Arriving, hasTitle, Arriving]
-
A.
Arriving
chosen
"Arriving" is an episode of the natural history television series "The Trials of Life," which explores animal behavior and life cycles.
-
B.
En route
En route is a novel by French writer Joris-Karl Huysmans that explores spiritual crisis and religious conversion through introspective, symbolist prose.
-
C.
Departure
Departure is a notable album titled "Journey," recognized for its musical significance within the artist's discography.
-
D.
Departure
Departure is a renowned triptych painting by German Expressionist artist Max Beckmann that powerfully explores themes of exile, suffering, and spiritual liberation.
-
E.
Last Stop
Last Stop is a narrative-driven adventure video game set in modern-day London that follows the intertwined supernatural stories of three playable characters.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589faccc8190ac0354644099810d |
completed | March 20, 2026, 2:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3bf54448190a7e65cee1a5c48e3 |
completed | March 20, 2026, 11:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.