Triple
T17065945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baker Dill |
E414088
|
entity |
| Predicate | relationshipToPatrick Zariakas |
P125725
|
FINISHED |
| Object | father |
—
|
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 | Statement: [Baker Dill, relationshipToPatrick Zariakas, father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToPatrick Zariakas Context triple: [Baker Dill, relationshipToPatrick Zariakas, father]
-
A.
relationshipToPatrickDennis
Indicates the specific familial, social, or professional relationship that one entity has to Patrick Dennis.
-
B.
associatedWithPatriarch
Indicates that an entity has a relationship, connection, or affiliation with a patriarch, such as being under their authority, influence, or domain.
-
C.
relationshipToPatsey
Indicates the nature or type of relationship an entity has with the person or entity named Patsey.
-
D.
patronFamilyOf
Indicates a familial relationship in which one family acts as a patron, protector, or benefactor to another family.
-
E.
relationshipToEvanHansen
Indicates the type or nature of a person's relationship or connection to Evan Hansen.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db8171348190ab68d2e4f05f7120 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.