Triple
T8523581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béla Wigner |
E201755
|
entity |
| Predicate | hasFamilyRelationType |
P7844
|
FINISHED |
| Object | brother-in-law of Paul Dirac |
—
|
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: brother-in-law of Paul Dirac | Statement: [Béla Wigner, hasFamilyRelationType, brother-in-law of Paul Dirac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyRelationType Context triple: [Béla Wigner, hasFamilyRelationType, brother-in-law of Paul Dirac]
-
A.
hasFamilialTieTo
chosen
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
B.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
C.
hasFamilyRole
Indicates that one entity holds a specific familial role or position in relation to another entity.
-
D.
isParentsFamilyOf
Indicates that one entity is the family (collective relatives) of another entity’s parents.
-
E.
containsFamily
Indicates that one entity includes or encompasses members of a particular family group within it.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64362c88190b978a2544eec6e3e |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.