Triple
T8442061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Silva |
E199372
|
entity |
| Predicate | narrativeFocusIn |
P31266
|
FINISHED |
| Object | depiction of the 2012 Benghazi attack |
—
|
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: depiction of the 2012 Benghazi attack | Statement: [Jack Silva, narrativeFocusIn, depiction of the 2012 Benghazi attack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeFocusIn Context triple: [Jack Silva, narrativeFocusIn, depiction of the 2012 Benghazi attack]
-
A.
narrativeFocusOfWork
chosen
Indicates that a particular element (such as a character, event, or theme) is the primary narrative focus or central subject of a given work.
-
B.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
D.
narrativeShift
Indicates a change in the narrative perspective, time, focus, or structure within a story or discourse.
-
E.
writingFocus
Indicates that an entity’s primary attention or effort is directed toward writing or written expression.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.