Triple
T23480342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Clarence Oveur |
E570386
|
entity |
| Predicate | worksOnRouteInFiction |
P131086
|
FINISHED |
| Object | Los Angeles to Chicago flight |
—
|
LITERAL 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: Los Angeles to Chicago flight | Statement: [Captain Clarence Oveur, worksOnRouteInFiction, Los Angeles to Chicago flight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksOnRouteInFiction Context triple: [Captain Clarence Oveur, worksOnRouteInFiction, Los Angeles to Chicago flight]
-
A.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
-
B.
worksInFictionalContext
chosen
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
C.
worksForInNovel
Indicates that one entity is employed by or serves another entity within the fictional context of a specific novel.
-
D.
eraWithinFiction
Indicates that a time period or era exists inside the narrative world or timeline of a fictional work.
-
E.
flowsThroughInFiction
Indicates that, within a fictional context or narrative, one entity (typically a river or similar medium) passes through, traverses, or courses across another entity (such as a location or region).
- F. None of above.
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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74f48d8819080e875aaea8b46b3 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:03 p.m.