Triple
T20070765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonder Alonso |
E499728
|
entity |
| Predicate | relationshipToMannyMachado |
P138586
|
FINISHED |
| Object | brother-in-law |
—
|
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 | Statement: [Yonder Alonso, relationshipToMannyMachado, brother-in-law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMannyMachado Context triple: [Yonder Alonso, relationshipToMannyMachado, brother-in-law]
-
A.
relationshipToMLB
Indicates the nature or type of connection an entity has to Major League Baseball (MLB), such as affiliation, role, or involvement.
-
B.
relationshipToMiguel
Indicates the nature or type of relationship that one entity has with Miguel.
-
C.
relationshipToMattDrayton
Indicates the specific type of personal or social connection an entity has with Matt Drayton.
-
D.
relationshipTypeWithSamMalone
Indicates the specific nature or category of relationship that an entity has with Sam Malone.
-
E.
relationshipToMarkWatney
Indicates the specific type of personal or social relationship an entity has with Mark Watney.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643798a4819081fa4e71c74b47bc |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:40 p.m.