Triple
T36247632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reign of Henry II of France |
E891706
|
entity |
| Predicate | placeOfDeathOfMonarch |
P21
|
FINISHED |
| Object | Paris |
—
|
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: Paris | Statement: [Reign of Henry II of France, placeOfDeathOfMonarch, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfDeathOfMonarch Context triple: [Reign of Henry II of France, placeOfDeathOfMonarch, Paris]
-
A.
deathBeforeAccessionAccordingTo
Indicates that one entity’s death occurred before another entity’s accession, as established or reported by a specified source or authority.
-
B.
placeOfDeath
chosen
Indicates the location where an entity (typically a person or animal) died.
-
C.
diedDuringReignOf
Indicates that one entity died while another entity was in power or ruling.
-
D.
deathBeforeAccession
Indicates that one entity’s death occurred before another entity’s accession to a position, title, or role.
-
E.
endOfReignReason
Indicates the cause or circumstance that led to the termination of a ruler’s reign.
- 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 3, 2026, 4:09 p.m.