Triple
T36539600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Even Chance |
E900680
|
entity |
| Predicate | portraysFictionalPeriod |
P200157
|
FINISHED |
| Object | French Revolutionary Wars |
—
|
NE NERFINISHED |
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: French Revolutionary Wars | Statement: [The Even Chance, portraysFictionalPeriod, French Revolutionary Wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysFictionalPeriod Context triple: [The Even Chance, portraysFictionalPeriod, French Revolutionary Wars]
-
A.
fictionalCharacterInPeriodDepicted
Indicates that a fictional character appears within, or is portrayed as existing in, the time period depicted by a work or representation.
-
B.
existsInFictionalTimePeriod
Indicates that an entity is situated within, or associated with, a time period that is fictional rather than part of real-world history.
-
C.
portraysFictionalized
Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
-
D.
fictionalEra
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
E.
appearsInTimePeriodDepicted
Indicates that something is present or occurs within the specific time period that is depicted or represented.
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69ff779d3d788190af5a2dbc4d7ca3c8 |
completed | May 9, 2026, 6:06 p.m. |
Created at: May 3, 2026, 4:11 p.m.