Triple
T8554726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John the Fearless |
E202535
|
entity |
| Predicate | yearOfAssassinationOfLouisOfOrleans |
P4179
|
FINISHED |
| Object | 1407 |
—
|
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: 1407 | Statement: [John the Fearless, yearOfAssassinationOfLouisOfOrleans, 1407]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfAssassinationOfLouisOfOrleans Context triple: [John the Fearless, yearOfAssassinationOfLouisOfOrleans, 1407]
-
A.
dateOfExecutionOfLouisXVI
Indicates the specific calendar date on which the execution of Louis XVI took place.
-
B.
assassinationDate
chosen
Indicates the date on which an assassination of the referenced entity occurred.
-
C.
assassinatedIn
Indicates that an assassination of one entity occurred within the specified location or context represented by another entity.
-
D.
assassinationEvent
Indicates a deliberate killing of a specific individual, typically for political or strategic reasons, carried out as a planned event.
-
E.
massacreYear
Indicates the year in which a massacre event took place.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe88a936c8190a0234bf7da2ff55a |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.