Triple
T31870340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merilyn Steed |
E813579
|
entity |
| Predicate | spouseCriminalStatus |
P55300
|
FINISHED |
| Object | imprisoned |
—
|
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: imprisoned | Statement: [Merilyn Steed, spouseCriminalStatus, imprisoned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseCriminalStatus Context triple: [Merilyn Steed, spouseCriminalStatus, imprisoned]
-
A.
spouseStatus
Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
-
B.
socialStatusOfSpouse
Indicates the social status or rank held by a person's spouse within a given social or cultural context.
-
C.
spouseIllegitimacyStatus
Indicates the legal or social legitimacy status (e.g., legitimate, illegitimate) of a person’s spouse within the context of their relationship.
-
D.
spouseInvolvedIn
chosen
Indicates that a person's spouse participates in, is associated with, or plays a role in a specified activity, event, or situation.
-
E.
spouseConvictionPenalty
Indicates that a penalty or sentence resulting from a conviction applies to, or is associated with, a person’s spouse.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 30, 2026, 11:54 p.m.