Triple
T1367579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm Habiba |
E30037
|
entity |
| Predicate | firstHusbandConvertedTo |
P11201
|
FINISHED |
| Object | Christianity in Abyssinia |
—
|
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: Christianity in Abyssinia | Statement: [Umm Habiba, firstHusbandConvertedTo, Christianity in Abyssinia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstHusbandConvertedTo Context triple: [Umm Habiba, firstHusbandConvertedTo, Christianity in Abyssinia]
-
A.
firstWifeOf
Indicates that one person is the first woman to have been married to another person.
-
B.
firstHusbandDeath
Indicates that the woman's first husband has died, marking the end of that marital relationship by his death.
-
C.
firstHolderSpouseOf
Indicates that the first holder in the relation is the spouse (married partner) of the other holder.
-
D.
convertedToReligion
chosen
Indicates that an entity adopted or changed to a particular religion, typically from a previous belief system or lack thereof.
-
E.
secondWifeOf
Indicates that one person is the second spouse (by order of marriage) of another person.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d33d2081908008494b5f56bf56 |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4befb08b88190be966fa1aadd4bcd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.