Triple
T31255545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Ann Faragher |
E796954
|
entity |
| Predicate | employerAtTimeOfEvents |
P125493
|
FINISHED |
| Object | City of Boca Raton |
—
|
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: City of Boca Raton | Statement: [Beth Ann Faragher, employerAtTimeOfEvents, City of Boca Raton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerAtTimeOfEvents Context triple: [Beth Ann Faragher, employerAtTimeOfEvents, City of Boca Raton]
-
A.
employerIn
Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
-
B.
employedAtTime
chosen
Indicates that an employment relationship holds during a specified time or time interval.
-
C.
workAt
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
-
D.
formerEmployer
Indicates that one entity previously employed the other but no longer does so.
-
E.
parentEmployer
Indicates that one organization is the direct or higher-level employer of another organization or entity.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 29, 2026, 9:12 p.m.