Triple
T32916319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac Mahon |
E842020
|
entity |
| Predicate | MahonDerivedFrom |
P909
|
FINISHED |
| Object | Mathghamhain |
—
|
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: Mathghamhain | Statement: [Mac Mahon, MahonDerivedFrom, Mathghamhain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MahonDerivedFrom Context triple: [Mac Mahon, MahonDerivedFrom, Mathghamhain]
-
A.
derivedBy
Indicates that one entity is obtained, produced, or inferred from another through some transformation, process, or reasoning.
-
B.
derivedFrom
chosen
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
C.
ancestorMother
Indicates that one entity is a female ancestor (mother, grandmother, etc.) of another entity in a family lineage.
-
D.
familyNameDerivedFrom
Indicates that one entity’s family name originates from, or is etymologically derived from, another entity.
-
E.
motherBasedOn
Indicates a maternal relationship where one entity is considered the mother of another based on inferred, indirect, or non-biological evidence or criteria.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.