Triple
T22841707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Tallulah Behn |
E566097
|
entity |
| Predicate | paternalStatus |
P149925
|
FINISHED |
| Object | father deceased |
—
|
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: father deceased | Statement: [Emma Tallulah Behn, paternalStatus, father deceased]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paternalStatus Context triple: [Emma Tallulah Behn, paternalStatus, father deceased]
-
A.
paternalRelationshipStatusToZerubbabel
Indicates the specific paternal relationship or status that one entity has in relation to Zerubbabel.
-
B.
paternalHouse
Indicates the family house or lineage associated with a person's father.
-
C.
patriarchalStatus
Indicates the hierarchical or social position an entity holds within a male-dominated or father-centered authority structure.
-
D.
fatherStatusAtStart
Indicates the condition or role of the father at the beginning of a specified event, period, or process.
-
E.
parentsStatus
Indicates the marital or relational status between a person's parents (e.g., married, divorced, separated, single).
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e855abc8190b9cf8cc515090a7f |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:35 p.m.