Triple
T20964846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidimba |
E516339
|
entity |
| Predicate | relationToHidimbi |
P7844
|
FINISHED |
| Object | brother |
—
|
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: brother | Statement: [Hidimba, relationToHidimbi, brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToHidimbi Context triple: [Hidimba, relationToHidimbi, brother]
-
A.
relatedIdentity
Indicates that two identities are connected or associated with each other in some meaningful way, such as being alternate, linked, or otherwise contextually related.
-
B.
relationToUthman
Indicates the type of relationship or connection an entity has to Uthman.
-
C.
relationshipToRa
Indicates a specified type of relational connection that an entity has to the entity Ra.
-
D.
relationshipToRama
Indicates the specific familial, social, or other relational connection that an entity has to Rama.
-
E.
hasFamilialTieTo
chosen
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb71d644819087e00933fcc26217 |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:32 p.m.