Triple
T36064232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canute Danaást |
E1043174
|
entity |
| Predicate | saidToBeTheSiblingOf |
P132967
|
FINISHED |
| Object | Harald Bluetooth |
—
|
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: Harald Bluetooth | Statement: [Canute Danaást, saidToBeTheSiblingOf, Harald Bluetooth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: saidToBeTheSiblingOf Context triple: [Canute Danaást, saidToBeTheSiblingOf, Harald Bluetooth]
-
A.
sibling
Indicates that two entities share at least one parent, making them brothers or sisters to each other.
-
B.
siblingOrRelative
chosen
Indicates that two entities are related to each other by blood, marriage, or family ties, including but not limited to being siblings.
-
C.
stepSibling
Indicates that two people share at least one parent but do not share both biological parents, making them step-siblings.
-
D.
siblingPseudonymOf
Indicates that one pseudonym is used by a person who is closely associated with, but distinct from, the person using another pseudonym, in a way analogous to a sibling relationship between the identities.
-
E.
artistSiblingOfDepicted
Indicates that the artist creating the work is a sibling of the person depicted in it.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.