Triple
T9078455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Lorkowski |
E217548
|
entity |
| Predicate | formerActivity |
P30469
|
FINISHED |
| Object | high school cheerleader |
—
|
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 cheerleader | Statement: [Rose Lorkowski, formerActivity, high school cheerleader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerActivity Context triple: [Rose Lorkowski, formerActivity, high school cheerleader]
-
A.
laterActivity
Indicates that one activity occurs after another in time, establishing a temporal ordering between them.
-
B.
formerState
chosen
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
C.
precursorActivity
Indicates that one activity occurs earlier and contributes causally or preparatorily to the initiation of another activity.
-
D.
formerProgram
Indicates that an entity previously held the role or status of a program but no longer does so.
-
E.
associatedActivity
Indicates that one entity is linked to, involved in, or characterized by a particular activity or set of activities.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.