Triple
T34087182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beau Wassermann |
E874202
|
entity |
| Predicate | relationshipToMonaWassermann |
P205315
|
FINISHED |
| Object | son |
—
|
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: son | Statement: [Beau Wassermann, relationshipToMonaWassermann, son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMonaWassermann Context triple: [Beau Wassermann, relationshipToMonaWassermann, son]
-
A.
relationshipToMariane
Indicates the specific type of relationship or connection that an entity has to Mariane.
-
B.
relationshipToManni
Indicates a relational connection that an entity has specifically with Manni, such as their role, association, or familial/ social tie to Manni.
-
C.
relationshipTypeWithMonicaWright
Indicates the specific nature or category of the relationship that an entity has with Monica Wright.
-
D.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
-
E.
relationshipTypeWith Mona Stangley
Indicates the specific type or nature of relationship that an entity has with Mona Stangley.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:52 a.m.