Triple
T38147567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eadberht I of Kent |
E952659
|
entity |
| Predicate | siblingOrCloseKinsman |
P132967
|
FINISHED |
| Object |
Æðelberht II of Kent
Æðelberht II of Kent was a 7th-century Anglo-Saxon king of Kent known for his role in the early Christian kingdom’s politics and dynastic struggles.
|
E2283451
|
NE FINISHED |
How this triple was built (3 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: Æðelberht II of Kent | Statement: [Eadberht I of Kent, siblingOrCloseKinsman, Æðelberht II of Kent]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Æðelberht II of Kent Triple: [Eadberht I of Kent, siblingOrCloseKinsman, Æðelberht II of Kent]
Generated description
Æðelberht II of Kent was a 7th-century Anglo-Saxon king of Kent known for his role in the early Christian kingdom’s politics and dynastic struggles.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siblingOrCloseKinsman Context triple: [Eadberht I of Kent, siblingOrCloseKinsman, Æðelberht II of Kent]
-
A.
siblingOrRelative
chosen
Indicates that two entities are related to each other by blood, marriage, or family ties, including but not limited to being siblings.
-
B.
brotherInLaw
Indicates a relationship where one person is the brother of someone's spouse, the spouse of someone's sibling, or the spouse of the sibling of someone's spouse.
-
C.
nieceOrNephewOf
Indicates that one person is the niece or nephew (the child of a sibling or sibling-in-law) of another person.
-
D.
spouseOfSiblingOf
Indicates the person who is married to someone’s sibling.
-
E.
isNephewOf
Indicates that one person is the male child of another person's sibling.
- F. None of above.
Provenance (6 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4256ceb944819084a2f8d89506d22a |
completed | June 29, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_6a425757310481908a013bd2bb45083e |
completed | June 29, 2026, 11:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4257c4d7a88190a367640de04aab80 |
completed | June 29, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.