Triple
T14465832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Departure |
E358704
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Departure |
unclear NED1
|
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: Departure | Statement: [Departure, title, Departure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Departure Context triple: [Departure, title, Departure]
-
A.
Departure
Departure is a notable album titled "Journey," recognized for its musical significance within the artist's discography.
-
B.
Departure
Departure is a renowned triptych painting by German Expressionist artist Max Beckmann that powerfully explores themes of exile, suffering, and spiritual liberation.
-
C.
Departure
"Departure" is a short film by Satie Gossett, recognized as one of his notable works in independent cinema.
-
D.
Departure
Departure is a science fiction novel by Owen Sheers that precedes and sets the stage for the events explored in his later work, Escape.
-
E.
Departure
"Departure" is a short story from Sherwood Anderson's collection *Winesburg, Ohio*, focusing on a young man's emotional leave-taking from his small Midwestern town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f6d4c08190a12e9a5901ee3508 |
completed | April 14, 2026, 7:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8ae5508190aea1cab0b059f804 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:19 a.m.