Triple
T10447056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgiana Goldsmith |
E246317
|
entity |
| Predicate | spouseHonorificPrefix |
P17687
|
FINISHED |
| Object | Sir |
—
|
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: Sir | Statement: [Georgiana Goldsmith, spouseHonorificPrefix, Sir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseHonorificPrefix Context triple: [Georgiana Goldsmith, spouseHonorificPrefix, Sir]
-
A.
honorificPrefix
Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
-
B.
spouseOfHonouree
Indicates that one person is the spouse (married partner) of the honouree.
-
C.
hasSpouseTitle
chosen
Indicates that a person’s spouse holds a particular title or honorific designation.
-
D.
spouse name
Indicates that one entity is the legally recognized husband or wife of the other, specifying the partner’s name in a marital relationship.
-
E.
spouseGivenName
Indicates that the value is the given (first) name of a person's spouse in the relationship.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:16 p.m.