Triple
T29157155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lennox (through his wife) |
E739079
|
entity |
| Predicate | controlBasis |
P190486
|
FINISHED |
| Object | marriage to the heiress of Lennox |
—
|
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: marriage to the heiress of Lennox | Statement: [Lennox (through his wife), controlBasis, marriage to the heiress of Lennox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlBasis Context triple: [Lennox (through his wife), controlBasis, marriage to the heiress of Lennox]
-
A.
controlsWith
Indicates that one entity exercises authority, direction, or regulatory power over another entity through specific means or mechanisms.
-
B.
controlFrom
Indicates that one entity exercises authority, influence, or regulatory power over another entity or process.
-
C.
controlsOrControlled
Indicates that one entity has control over another entity or is itself under the control of that other entity.
-
D.
controlStand
Indicates that one entity manages, directs, or regulates the operation or behavior of another entity or system.
-
E.
exportControl
Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
- 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_69f07cb528fc8190a556b73990c347c8 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: April 28, 2026, 11:45 a.m.