Triple
T26701175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Freeman as Ned Logan |
E673158
|
entity |
| Predicate | setInUSState |
P31574
|
FINISHED |
| Object | Wyoming |
—
|
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: Wyoming | Statement: [Morgan Freeman as Ned Logan, setInUSState, Wyoming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInUSState Context triple: [Morgan Freeman as Ned Logan, setInUSState, Wyoming]
-
A.
isInUSState
chosen
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
-
B.
homeStateFlag
Indicates that a particular flag is officially recognized as the state flag of the referenced home state.
-
C.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
D.
isInUnitedStates
Indicates that one entity is located within the geographic or political boundaries of the United States.
-
E.
locatedInUSRegion
Indicates that one entity is geographically situated within a specified region of the United States.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6177ef08481908130a8cc2ec33fb2 |
completed | May 2, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:31 a.m.