Triple
T37691512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bothwell lordship |
E938516
|
entity |
| Predicate | hasTitleLinked |
P99582
|
FINISHED |
| Object | Lord Bothwell |
—
|
NE NERFINISHED |
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: Lord Bothwell | Statement: [Bothwell lordship, hasTitleLinked, Lord Bothwell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleLinked Context triple: [Bothwell lordship, hasTitleLinked, Lord Bothwell]
-
A.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
B.
hasTitleOf
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
-
C.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
D.
hasTitleRelation
Indicates that one entity holds a formal title, designation, or rank in relation to another entity.
-
E.
hasConnectionToTitle
chosen
Indicates that one entity is linked or associated with a specific title, role, or designation held or referenced by another entity.
- 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 3, 2026, 4:18 p.m.