Triple
T37997326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beulah Annan murder case |
E947994
|
entity |
| Predicate | countryAtTimeOfCrime |
P103056
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Beulah Annan murder case, countryAtTimeOfCrime, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryAtTimeOfCrime Context triple: [Beulah Annan murder case, countryAtTimeOfCrime, United States]
-
A.
countryOfTheft
Indicates the country in which a theft took place.
-
B.
countryOfConviction
Indicates the country in which a person or entity was legally convicted of an offense.
-
C.
locationCountryAtTheTime
chosen
Indicates that an entity was located in a specified country during a particular time or time period.
-
D.
countryOfImprisonment
Indicates the country in which a person or entity is or was imprisoned.
-
E.
arrestedInCountry
Indicates that an entity was arrested while located within the jurisdiction of a specified country.
- F. None of above.
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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a412c9f191481908414685913f06170 |
completed | June 28, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.