Triple
T29570080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Moore |
E753277
|
entity |
| Predicate | effectOfMarabarCaves |
P67693
|
FINISHED |
| Object | spiritual crisis |
—
|
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: spiritual crisis | Statement: [Mrs. Moore, effectOfMarabarCaves, spiritual crisis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfMarabarCaves Context triple: [Mrs. Moore, effectOfMarabarCaves, spiritual crisis]
-
A.
Mawtini
Indicates a relationship of national belonging or patriotic connection, often expressing devotion or attachment to one’s homeland.
-
B.
hadGreaterMysteries
Indicates that one entity possessed or was associated with more profound, secret, or advanced mysteries than another entity.
-
C.
التأثير
chosen
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
D.
impactOfSubmergence
Indicates the effect or consequences that submerging one entity (typically in a fluid or environment) has on another entity or on its properties.
-
E.
hasSharkAntagonist
Indicates that an entity features a shark serving as an opposing or hostile force, often in a central conflict role.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 5:57 p.m.