Triple
T17482082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Quicksilver |
E425684
|
entity |
| Predicate | commandStructureFiction |
P124603
|
FINISHED |
| Object | General George S. Patton as commander of FUSAG |
—
|
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: General George S. Patton as commander of FUSAG | Statement: [Operation Quicksilver, commandStructureFiction, General George S. Patton as commander of FUSAG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandStructureFiction Context triple: [Operation Quicksilver, commandStructureFiction, General George S. Patton as commander of FUSAG]
-
A.
storyEngine
Indicates that one entity functions as a narrative-generating or plot-controlling mechanism for another entity or set of events.
-
B.
actStructure
Indicates a structural or organizational relationship that defines how an action or activity is arranged, composed, or internally organized.
-
C.
fictionalContent
Indicates that one entity is content whose subject matter, events, or characters are imaginary or invented rather than factual.
-
D.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
-
E.
conductsInFiction
chosen
Indicates that an entity carries out or performs an action or role within a fictional context or narrative.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451c0db14819098922453131fb40a |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.