Triple
T11118148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JoAnne Deborah Byron |
E262944
|
entity |
| Predicate | legalStatusInUSA |
P14939
|
FINISHED |
| Object | wanted fugitive |
—
|
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: wanted fugitive | Statement: [JoAnne Deborah Byron, legalStatusInUSA, wanted fugitive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInUSA Context triple: [JoAnne Deborah Byron, legalStatusInUSA, wanted fugitive]
-
A.
statusInUnitedStates
chosen
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
B.
legalStatusInManyCountries
Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
-
C.
legalStatusClaimedByUS
Indicates that the United States has asserted or claimed a particular legal status for the referenced entity or situation.
-
D.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
E.
legalStatusAccordingToIndia
Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of India.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af6fe448190b042c2e77b855b05 |
completed | April 9, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.