Triple
T5139564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudette Colbert |
E115910
|
entity |
| Predicate | movedToUnitedStates |
P195
|
FINISHED |
| Object | 1906 |
—
|
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: 1906 | Statement: [Claudette Colbert, movedToUnitedStates, 1906]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movedToUnitedStates Context triple: [Claudette Colbert, movedToUnitedStates, 1906]
-
A.
immigratedTo
chosen
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
B.
laterCitizenship
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
-
C.
allyOfUnitedStates
Indicates a relationship where an entity maintains a supportive, cooperative, or formally allied partnership with the United States.
-
D.
movedDomicileFromCountry
Indicates that an entity changed its place of residence from one specified country to another location.
-
E.
formerCitizenship
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.