Triple
T5639952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Architect |
E124240
|
entity |
| Predicate | hasFatherSonRelationshipBetween |
P7844
|
FINISHED |
| Object | Louis Kahn and Nathaniel Kahn |
—
|
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: Louis Kahn and Nathaniel Kahn | Statement: [My Architect, hasFatherSonRelationshipBetween, Louis Kahn and Nathaniel Kahn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFatherSonRelationshipBetween Context triple: [My Architect, hasFatherSonRelationshipBetween, Louis Kahn and Nathaniel Kahn]
-
A.
relationshipWithFather
Indicates a familial relationship that specifically connects an individual to their father.
-
B.
stepfatherOf
Indicates that one person is the male spouse or partner of a child's parent, but is not the child's biological or adoptive father.
-
C.
isNephewOf
Indicates that one person is the male child of another person's sibling.
-
D.
hasFamilialTieTo
chosen
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
E.
associatedWithPatriarch
Indicates that an entity has a relationship, connection, or affiliation with a patriarch, such as being under their authority, influence, or domain.
- F. None of above.
Provenance (3 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022850bf08190953cd5394f821801 |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.