Triple
T23243754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Esther Lee |
E581527
|
entity |
| Predicate | spouseOfRank |
P37264
|
FINISHED |
| Object | German Field Marshal |
—
|
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: German Field Marshal | Statement: [Mary Esther Lee, spouseOfRank, German Field Marshal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfRank Context triple: [Mary Esther Lee, spouseOfRank, German Field Marshal]
-
A.
spouseOfHead
Indicates that one person is the married partner of the individual who holds the position of head (e.g., head of a household, organization, or state).
-
B.
spouseNobilityStatus
Indicates that the predicate specifies the nobility rank or noble status held by a person’s spouse.
-
C.
spouseOfHonouree
Indicates that one person is the spouse (married partner) of the honouree.
-
D.
marriedToRank
chosen
Indicates that one entity is married to another entity who holds a specific rank or position.
-
E.
spouseOfRole
Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.