Triple
T212071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirhan Sirhan |
E4741
|
entity |
| Predicate | yearOfImmigrationToUS |
P498
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Sirhan Sirhan, yearOfImmigrationToUS, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfImmigrationToUS Context triple: [Sirhan Sirhan, yearOfImmigrationToUS, 1950s]
-
A.
yearOfImmigration
chosen
Indicates the specific year in which an entity immigrated to a new country or region.
-
B.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
C.
relocationYear
Indicates the year in which an entity was moved or transferred from one location to another.
-
D.
dateBecamePartOfUnitedStates
Indicates the date on which an entity formally became part of the United States.
-
E.
admittedToUnionOn
Indicates that an entity (typically a state or region) was formally accepted and incorporated into a union or federation on a specific date.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b4f71b88190866c8262922ae204 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.