Triple
T31233707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orowitz |
E796355
|
entity |
| Predicate | appearsInPublicRecordsIn |
P191016
|
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: [Orowitz, appearsInPublicRecordsIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInPublicRecordsIn Context triple: [Orowitz, appearsInPublicRecordsIn, United States]
-
A.
criminalRecord
Indicates that an entity has a documented history of criminal offenses or convictions recorded by an authority.
-
B.
associatedWithCrimeRecordOfUser
Indicates a relationship where something is linked to, or derived from, the crime record belonging to a specific user.
-
C.
hasPublicAppearancesWith
Indicates that two entities have appeared together in public settings or events.
-
D.
appearsInCourt
Indicates that an entity is formally present and participating in a legal proceeding before a court.
-
E.
publiclyDisplayed
Indicates that something is shown or made visible in a public context or setting, accessible to people at large.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: April 29, 2026, 9:10 p.m.