Triple
T22981567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattie Appleyard |
E571478
|
entity |
| Predicate | statusAtStoryStart |
P38113
|
FINISHED |
| Object | recently released prisoner |
—
|
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: recently released prisoner | Statement: [Mattie Appleyard, statusAtStoryStart, recently released prisoner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtStoryStart Context triple: [Mattie Appleyard, statusAtStoryStart, recently released prisoner]
-
A.
statusAtStartOfFilm
Indicates the condition or situation an entity is in at the beginning of the film.
-
B.
protagonistStatusAtStart
chosen
Indicates the role or condition the main character is in at the beginning of the narrative or event.
-
C.
narrativeStatus
Indicates the role or state of an element within a narrative, such as whether it is current, hypothetical, background, or otherwise positioned in the story’s progression.
-
D.
statusAtOpening
Indicates the condition or state something is in at the moment it is first opened or begins operation.
-
E.
legalStatusAtStartOfFilm
Indicates the legal condition or standing an entity has at the beginning of the film’s narrative.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829589548190863619aebcae026c |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:49 p.m.