Triple
T37214149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Ellenborough |
E922688
|
entity |
| Predicate | hasFirstHolderFamilyName |
P202078
|
FINISHED |
| Object | Law |
—
|
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: Law | Statement: [Earl of Ellenborough, hasFirstHolderFamilyName, Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstHolderFamilyName Context triple: [Earl of Ellenborough, hasFirstHolderFamilyName, Law]
-
A.
hasFamilyNameInitial
Indicates that an entity’s family name begins with a specified initial letter or character.
-
B.
hasFamilyNameOf
Indicates that one entity bears or uses the same family name (surname) as another entity.
-
C.
hasAncestralFamilyName
Indicates that an entity bears or is associated with a family name inherited from its ancestors.
-
D.
hasFamilyNameElement
Indicates that an entity has a specific component or segment that forms part of its family name.
-
E.
hasFirstNameFrom
Indicates that an entity’s first name is derived from, based on, or taken from another specified source.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a004c41f13c8190bc47daf6a5ca3949 |
completed | May 10, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_6a004bce3e3081909b35ae5b3bf2b35e |
completed | May 10, 2026, 9:11 a.m. |
| PDg | Predicate description generation | batch_6a004c41009c8190b18e41acf1fd7372 |
completed | May 10, 2026, 9:13 a.m. |
Created at: May 3, 2026, 4:15 p.m.