Triple
T10193827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri, Duke of Anjou |
E238107
|
entity |
| Predicate | reasonForFlightFromPoland |
P15406
|
FINISHED |
| Object | to claim the French throne after the death of Charles IX |
—
|
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: to claim the French throne after the death of Charles IX | Statement: [Henri, Duke of Anjou, reasonForFlightFromPoland, to claim the French throne after the death of Charles IX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForFlightFromPoland Context triple: [Henri, Duke of Anjou, reasonForFlightFromPoland, to claim the French throne after the death of Charles IX]
-
A.
immigrationReason
Indicates the reason or motivation behind an entity’s act of immigrating from one place to another.
-
B.
causeOfExile
chosen
Indicates the reason or circumstance that led to an entity’s exile.
-
C.
evacuationReason
Indicates the cause or justification for why an evacuation took place or was required.
-
D.
expulsionReason
Indicates the cause or justification for which an entity was expelled from a group, place, or institution.
-
E.
supportsNonSchengenFlights
Indicates that the subject facility or service is capable of handling or accommodating flights that operate outside the Schengen Area.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc675008190b8248325f5a208bf |
completed | April 2, 2026, 4:17 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.