Triple
T11770774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaśodharā |
E279889
|
entity |
| Predicate | maritalStatusBeforeRenunciation |
P101491
|
FINISHED |
| Object | married to Siddhartha Gautama |
—
|
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: married to Siddhartha Gautama | Statement: [Yaśodharā, maritalStatusBeforeRenunciation, married to Siddhartha Gautama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalStatusBeforeRenunciation Context triple: [Yaśodharā, maritalStatusBeforeRenunciation, married to Siddhartha Gautama]
-
A.
spouseStatusAtMarriage
Indicates the marital status each partner held at the time their marriage to one another was formed.
-
B.
marital status
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
C.
spouseBeforeConversion
Indicates that one person was the spouse of another prior to a specified religious or ideological conversion.
-
D.
religiousStatus
Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
-
E.
residenceBeforeMarriage
Indicates that an individual lived at a particular residence prior to their marriage.
- F. None of above. chosen
Provenance (4 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
| PDg | Predicate description generation | batch_69d8a8c07d648190b8650d31f3a15090 |
completed | April 10, 2026, 7:37 a.m. |
Created at: April 8, 2026, 9:41 p.m.