Triple
T38657943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John, 3rd Earl of Kent |
E939947
|
entity |
| Predicate | titlesInheritedBy |
P23689
|
FINISHED |
| Object | Joan of Kent |
—
|
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: Joan of Kent | Statement: [John, 3rd Earl of Kent, titlesInheritedBy, Joan of Kent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlesInheritedBy Context triple: [John, 3rd Earl of Kent, titlesInheritedBy, Joan of Kent]
-
A.
inheritsTitle
chosen
Indicates that one entity receives and assumes a formal title or rank previously held by another entity, typically through succession or inheritance.
-
B.
inheritedByInFilm
Indicates that a character, role, or attribute is passed on or taken over by another character within the narrative of a film.
-
C.
partOfTitleOf
Indicates that one element forms a component or segment of another element’s title.
-
D.
USTitles
Indicates that the entity holds or is associated with official titles or designations specific to the United States.
-
E.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
Created at: May 3, 2026, 4:33 p.m.