Triple
T26114872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katrina Bennett |
E658796
|
entity |
| Predicate | lawFirmPosition |
P120639
|
FINISHED |
| Object | name partner at Zane Specter Litt Wheeler Williams |
—
|
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: name partner at Zane Specter Litt Wheeler Williams | Statement: [Katrina Bennett, lawFirmPosition, name partner at Zane Specter Litt Wheeler Williams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawFirmPosition Context triple: [Katrina Bennett, lawFirmPosition, name partner at Zane Specter Litt Wheeler Williams]
-
A.
roleInFirm
chosen
Indicates the specific position, function, or responsibility an entity holds within a firm or organization.
-
B.
lawFirm
Indicates a relationship where one entity is a law firm that provides legal services or representation to another entity.
-
C.
legalProfessionRole
Indicates that one entity holds or performs a specific professional role within the legal domain in relation to another entity or context.
-
D.
lawPartnerOf
Indicates a professional relationship in which two individuals are partners in the same law firm or legal practice.
-
E.
legalSystemRole
Indicates the specific function, capacity, or position an entity holds within a legal or judicial system.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:04 p.m.