Triple
T18819593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Owen |
E460226
|
entity |
| Predicate | exitTypeFromShow |
P38927
|
FINISHED |
| Object | on‑screen death |
—
|
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: on‑screen death | Statement: [Steve Owen, exitTypeFromShow, on‑screen death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exitTypeFromShow Context triple: [Steve Owen, exitTypeFromShow, on‑screen death]
-
A.
exitTo
Indicates that one location or entity serves as a passage or route leading directly to another location or entity.
-
B.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
C.
finalSceneAction
chosen
Indicates the action or event that occurs in the concluding or final scene of a narrative or sequence.
-
D.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
-
E.
hasExitFor
Indicates that something provides or includes a specific exit intended for a particular destination, purpose, or user.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b8b7d88190a8828746176776ea |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:55 a.m.