Triple
T18856730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Cole |
E461189
|
entity |
| Predicate | representedByLawFirm |
P8814
|
FINISHED |
| Object | Fletcher Reede’s firm |
—
|
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: Fletcher Reede’s firm | Statement: [Samantha Cole, representedByLawFirm, Fletcher Reede’s firm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedByLawFirm Context triple: [Samantha Cole, representedByLawFirm, Fletcher Reede’s firm]
-
A.
allowsRepresentationByLawyers
Indicates that one party permits or recognizes the right of another party to be represented by lawyers in a given context or proceeding.
-
B.
soughtToRepresent
Indicates an attempt or intention by one entity to act on behalf of, stand in for, or present the interests of another entity.
-
C.
legalRepresentation
chosen
Indicates that one entity formally acts on behalf of another in legal matters, such as providing counsel, advocacy, or defense within a legal system.
-
D.
memberAssociationsRepresented
Indicates that one entity represents or acts on behalf of the associations to which a member belongs.
-
E.
lawPartnerOf
Indicates a professional relationship in which two individuals are partners in the same law firm or legal practice.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05d0bb8819094d0447441f85b57 |
completed | April 20, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.