Triple
T31482345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean de Brienne |
E803178
|
entity |
| Predicate | settingTimePeriodInFiction |
P180185
|
FINISHED |
| Object | time of the Crusades |
—
|
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: time of the Crusades | Statement: [Jean de Brienne, settingTimePeriodInFiction, time of the Crusades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingTimePeriodInFiction Context triple: [Jean de Brienne, settingTimePeriodInFiction, time of the Crusades]
-
A.
periodOfFictionalSetting
chosen
Indicates the time period in which the events of a fictional work are set.
-
B.
associatedPeriodInFiction
Indicates a relationship where a fictional work, character, or event is linked to a specific time period within its fictional universe or narrative setting.
-
C.
fictionalTime
Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
-
D.
timeSlotInFiction
Indicates that a specific time slot or period occurs within, or is depicted as part of, a fictional work or fictional timeline.
-
E.
fictionalTimeDepth
Indicates a relationship where an entity is associated with a time period or temporal depth that exists only within a fictional or imagined context.
- 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 30, 2026, 9:33 p.m.