Triple
T29157165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lennox (through his wife) |
E739079
|
entity |
| Predicate | tenureMode |
P22955
|
FINISHED |
| Object | held jure uxoris |
—
|
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: held jure uxoris | Statement: [Lennox (through his wife), tenureMode, held jure uxoris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenureMode Context triple: [Lennox (through his wife), tenureMode, held jure uxoris]
-
A.
tenureType
chosen
Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
-
B.
tenureCharacteristic
Indicates a relationship where a specific attribute or quality characterizes the duration or conditions of someone’s or something’s tenure.
-
C.
tenureDependsOn
Indicates that the duration or continuation of one entity’s tenure is conditional on or determined by another specified factor or entity.
-
D.
denotesTenure
Indicates that one entity holds or has held a position, role, or office at another entity for a specified period of time.
-
E.
lifeTenure
Indicates that an individual holds a position or office for the duration of their lifetime, without a fixed term limit or routine reappointment.
- 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_69f07cb528fc8190a556b73990c347c8 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f662aa69d08190b514c85e1c12ed79 |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:45 a.m.