Triple
T30430801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Della Frye |
E774157
|
entity |
| Predicate | investigatesFor |
P111372
|
FINISHED |
| Object | Washington Globe |
—
|
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: Washington Globe | Statement: [Della Frye, investigatesFor, Washington Globe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investigatesFor Context triple: [Della Frye, investigatesFor, Washington Globe]
-
A.
investigatesIn
Indicates that an entity conducts an investigation or inquiry within, or focused on, a particular context, location, or domain.
-
B.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
C.
areInvestigatedFor
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
-
D.
investigate
chosen
Indicates that one entity systematically examines, studies, or inquires into another entity or situation to uncover facts or gain understanding.
-
E.
investigatesAt
Indicates that an entity conducts an investigation or research activity at a specific location or institution.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6866e2fcc819090808635c0818ed9 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:06 p.m.