Triple
T37489529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandy Shanahan |
E931635
|
entity |
| Predicate | relationshipStartWithKyleShanahan |
P205928
|
FINISHED |
| Object | high school sweethearts |
—
|
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: high school sweethearts | Statement: [Mandy Shanahan, relationshipStartWithKyleShanahan, high school sweethearts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStartWithKyleShanahan Context triple: [Mandy Shanahan, relationshipStartWithKyleShanahan, high school sweethearts]
-
A.
marriageToKyleShanahan
Indicates a marital relationship in which the subject is married to Kyle Shanahan.
-
B.
relationshipToGreenBayPackers
Indicates the nature of a person or entity’s connection or association with the Green Bay Packers.
-
C.
relationshipTypeWithShaneMcCutcheon
Indicates the specific nature or category of relationship that an entity has with Shane McCutcheon.
-
D.
relationshipWithJakeHarper
Indicates that one entity has some form of relationship or connection with Jake Harper.
-
E.
relationshipToNFL
Indicates the nature or type of connection an entity has to the National Football League (NFL), such as affiliation, role, or involvement.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:17 p.m.