Triple
T20613600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah (Book of Tobit) |
E506508
|
entity |
| Predicate | maritalStatusBeforeTobias |
P140773
|
FINISHED |
| Object | widow |
—
|
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: widow | Statement: [Sarah (Book of Tobit), maritalStatusBeforeTobias, widow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalStatusBeforeTobias Context triple: [Sarah (Book of Tobit), maritalStatusBeforeTobias, widow]
-
A.
spouseStatusAtMarriage
Indicates the marital status each partner held at the time their marriage to one another was formed.
-
B.
maritalStatusBeforeRenunciation
Indicates the marital status a person had prior to formally renouncing a role, status, or affiliation.
-
C.
marriageBefore
Indicates that one marriage event occurred earlier in time than another marriage event.
-
D.
socialStatusBeforeSecondMarriage
Indicates the social status an individual held prior to entering into their second marriage.
-
E.
hasMaritalStatusAtEnd
Indicates that an entity possesses a specific marital status at the end of a given period, event, or reference time.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aada19e481909363428ceda67603 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.