Triple
T34104019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saul Goodman & Associates |
E874649
|
entity |
| Predicate | hasLegalFormInFiction |
P62678
|
FINISHED |
| Object | self-employed practice |
—
|
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: self-employed practice | Statement: [Saul Goodman & Associates, hasLegalFormInFiction, self-employed practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalFormInFiction Context triple: [Saul Goodman & Associates, hasLegalFormInFiction, self-employed practice]
-
A.
hasFormatInFiction
Indicates that a work of fiction is presented or realized in a particular narrative or media format (e.g., novel, film, comic).
-
B.
hasFictionalForm
Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
-
C.
legalFiction
chosen
Indicates a relationship where something is treated as true or as having a particular legal status or effect, even though it is not literally or factually the case, for the purpose of applying or interpreting the law.
-
D.
fictionalLaw
Indicates that a law, rule, or legal principle exists only within a fictional or imaginary context rather than in real-world legal systems.
-
E.
hasRankInFiction
Indicates that a fictional character or entity holds a specific rank, title, or hierarchical position within a fictional context or universe.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: May 1, 2026, 1:53 a.m.