Triple
T21321556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eileen Prince |
E525629
|
entity |
| Predicate | maidenFamilyStatus |
P143711
|
FINISHED |
| Object | pure-blood family |
—
|
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: pure-blood family | Statement: [Eileen Prince, maidenFamilyStatus, pure-blood family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maidenFamilyStatus Context triple: [Eileen Prince, maidenFamilyStatus, pure-blood family]
-
A.
marital status
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
B.
neverMarried
Indicates that the subject has not been legally married to any partner at any time up to the present.
-
C.
spouseStatusAtMarriage
Indicates the marital status each partner held at the time their marriage to one another was formed.
-
D.
firstWifeStatus
Indicates the marital status or condition of a man's first wife in relation to him.
-
E.
motherStatus
Indicates the current condition, role, or state of an entity in relation to being a mother (e.g., whether and how they are functioning or recognized as a mother).
- F. None of above. chosen
Provenance (4 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed1538c8190954da114e49dfa36 |
completed | April 21, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:39 p.m.