Triple
T16078720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Lipman |
E390042
|
entity |
| Predicate | citizenshipStatusDuringCase |
P31432
|
FINISHED |
| Object | non-citizen resident of the United States |
—
|
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: non-citizen resident of the United States | Statement: [Samuel Lipman, citizenshipStatusDuringCase, non-citizen resident of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipStatusDuringCase Context triple: [Samuel Lipman, citizenshipStatusDuringCase, non-citizen resident of the United States]
-
A.
immigrationStatusBeforeCitizenship
Indicates the legal immigration status an individual held prior to obtaining citizenship.
-
B.
dualCitizenshipStatus
Indicates that an entity holds legal citizenship in two different countries simultaneously.
-
C.
citizenshipDuringLifetime
chosen
Indicates that an entity held citizenship in a particular country or political unit at some point during its lifetime.
-
D.
citizenshipType
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
E.
citizenshipStatusAfterMarriage
Indicates the change or resulting state of a person's citizenship that occurs as a consequence of their marriage.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.