Triple
T28085845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jett Williams |
E709818
|
entity |
| Predicate | legalStatusAsChildOf |
P191965
|
FINISHED |
| Object | Hank Williams |
—
|
NE NERFINISHED |
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: Hank Williams | Statement: [Jett Williams, legalStatusAsChildOf, Hank Williams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAsChildOf Context triple: [Jett Williams, legalStatusAsChildOf, Hank Williams]
-
A.
onlyLegitimateChildOf
Indicates that one person is the sole legally recognized child of another person, with no other legitimate children sharing that parent.
-
B.
childStatus
Indicates the current condition, role, or state of a child entity in relation to its parent or context.
-
C.
legalStatusAfterAssent
Indicates the legal status that an entity attains once formal assent or approval has been granted.
-
D.
adoptionStatus
Indicates the current state or outcome of an adoption relationship or process between entities.
-
E.
childrenStatus
Indicates the relationship describing whether and how an entity has children, including their presence, number, or relevant child-related status.
- 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
| PDg | Predicate description generation | batch_69fcf1b241888190a243f07051c71383 |
completed | May 7, 2026, 8:10 p.m. |
Created at: April 27, 2026, 8:55 p.m.