Triple
T11556176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Fabricius |
E274022
|
entity |
| Predicate | reasonForHonorificTitle |
P33845
|
FINISHED |
| Object | survival of the defenestration (“high fall”) |
—
|
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: survival of the defenestration (“high fall”) | Statement: [Philip Fabricius, reasonForHonorificTitle, survival of the defenestration (“high fall”)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForHonorificTitle Context triple: [Philip Fabricius, reasonForHonorificTitle, survival of the defenestration (“high fall”)]
-
A.
reasonForHonorific
chosen
Indicates the reason, justification, or basis for which an honorific title or form of address is granted to or used for an entity.
-
B.
honorificTitle
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
-
C.
honorificTitleGivenBy
Indicates that an honorific title is formally conferred on one entity by another entity.
-
D.
dateGrantedHonorificTitle
Indicates the date on which an entity was formally awarded or granted an honorific title.
-
E.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a86be308190973fea5d7db8ba9d |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.