Triple
T7498002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Event of the Cloak |
E177181
|
entity |
| Predicate | narrativeAction |
P77863
|
FINISHED |
| Object | Prophet Muhammad gathers his family under a cloak |
—
|
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: Prophet Muhammad gathers his family under a cloak | Statement: [Event of the Cloak, narrativeAction, Prophet Muhammad gathers his family under a cloak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeAction Context triple: [Event of the Cloak, narrativeAction, Prophet Muhammad gathers his family under a cloak]
-
A.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
B.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
C.
narrativePassage
Indicates that a segment of text functions as a narrative passage, conveying events, actions, or storytelling rather than exposition, dialogue, or other discourse types.
-
D.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
E.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
- F. None of above. chosen
Provenance (4 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:44 p.m.