Triple
T28566183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivka David |
E722683
|
entity |
| Predicate | affiliationThroughFamily |
P139695
|
FINISHED |
| Object | Mossad |
—
|
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: Mossad | Statement: [Rivka David, affiliationThroughFamily, Mossad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affiliationThroughFamily Context triple: [Rivka David, affiliationThroughFamily, Mossad]
-
A.
familyAssociationWith
Indicates a familial relationship or connection exists between the referenced entities.
-
B.
gangAffiliationThroughFamily
Indicates that an individual is affiliated with a gang due to family connections or relationships.
-
C.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
D.
parentsAffiliation
chosen
Indicates that the parents are associated with, belong to, or are formally connected to a particular organization, group, or institution.
-
E.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:07 a.m.