Triple
T24872693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darry Curtis |
E622476
|
entity |
| Predicate | legalRisk |
P71081
|
FINISHED |
| Object | fear of being separated by Social Services |
—
|
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: fear of being separated by Social Services | Statement: [Darry Curtis, legalRisk, fear of being separated by Social Services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalRisk Context triple: [Darry Curtis, legalRisk, fear of being separated by Social Services]
-
A.
legalMatters
chosen
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
-
B.
legalDevelopment
Indicates the occurrence or progression of a change, action, or event within a legal context, such as new laws, rulings, or regulatory updates affecting legal status or practice.
-
C.
legalCover
Indicates that one entity provides legal protection, justification, or a façade of legitimacy for another entity’s actions or status.
-
D.
legalCodeFocus
Indicates that something is specifically concerned with, centered on, or primarily addressing a particular legal code or body of law.
-
E.
legalContent
Indicates that the associated material complies with applicable laws and regulations and is permitted for use, distribution, or display.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 18, 2026, 5:23 a.m.