Triple
T25209980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonya Cross |
E631656
|
entity |
| Predicate | investigatesIn |
P111392
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Sonya Cross, investigatesIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investigatesIn Context triple: [Sonya Cross, investigatesIn, United States]
-
A.
investigatesAt
chosen
Indicates that an entity conducts an investigation or research activity at a specific location or institution.
-
B.
investigate
Indicates that one entity systematically examines, studies, or inquires into another entity or situation to uncover facts or gain understanding.
-
C.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
D.
investigatedUsing
Indicates that an investigation, study, or analysis was carried out by means of a specified method, tool, or resource.
-
E.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
- 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47b8854348190be2a641802837234 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:58 p.m.