Triple
T36133661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Nixon (second cousin) |
E1045096
|
entity |
| Predicate | relativeTypeWith Jessamyn West |
P155097
|
FINISHED |
| Object | second cousin |
—
|
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: second cousin | Statement: [Richard Nixon (second cousin), relativeTypeWith Jessamyn West, second cousin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeTypeWith Jessamyn West Context triple: [Richard Nixon (second cousin), relativeTypeWith Jessamyn West, second cousin]
-
A.
relationshipTypeWith Jessa Johansson
Indicates the specific nature or category of relationship that an entity has with Jessa Johansson.
-
B.
hasRelationshipTypeWith Anastasia Steele
Indicates that an entity has a specific type of relationship or relational role with Anastasia Steele.
-
C.
relativeTypeTo Joanna McCoy
chosen
Indicates the specific familial or kinship relationship that an entity has to Joanna McCoy.
-
D.
relativeTypeOfFannyVonWilamowitzMoellendorff
Indicates that one entity is a relative (by family relationship) of Fanny von Wilamowitz-Moellendorff.
-
E.
hasRelationshipTypeWith Alexandra Bergson
Indicates that there exists a specific type or category of relationship between an entity and Alexandra Bergson.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.