Triple
T5401170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Climb Out of Darkness |
E120779
|
entity |
| Predicate | describesSubject |
P264
|
FINISHED |
| Object | Karen Armstrong’s personal journey |
—
|
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: Karen Armstrong’s personal journey | Statement: [My Climb Out of Darkness, describesSubject, Karen Armstrong’s personal journey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesSubject Context triple: [My Climb Out of Darkness, describesSubject, Karen Armstrong’s personal journey]
-
A.
describes
chosen
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
B.
subjectOfCatalog
Indicates that something is the primary focus or entry described within a catalog or cataloging record.
-
C.
subjectOfProject
Indicates that an entity serves as the main focus, topic, or target of a particular project.
-
D.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
E.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.