Triple
T6185857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Jane Ward |
E138055
|
entity |
| Predicate | The Snake Pit_subject |
P68150
|
FINISHED |
| Object | life in a psychiatric institution |
—
|
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: life in a psychiatric institution | Statement: [Mary Jane Ward, The Snake Pit_subject, life in a psychiatric institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: The Snake Pit_subject Context triple: [Mary Jane Ward, The Snake Pit_subject, life in a psychiatric institution]
-
A.
subjectOfFilm
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
B.
subjectOfCondemnation
Indicates that one entity is the target or object of formal disapproval, criticism, or denunciation by another entity.
-
C.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
D.
narrativeSubject
chosen
Indicates that an entity functions as the main subject or focal point within a narrative or story.
-
E.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062150fc48190877240abe6b6c636 |
completed | March 22, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.