Triple
T2051025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Orford |
E45566
|
entity |
| Predicate | titleForm |
P29166
|
FINISHED |
| Object | Countess + territorial designation Orford |
—
|
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: Countess + territorial designation Orford | Statement: [Countess of Orford, titleForm, Countess + territorial designation Orford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleForm Context triple: [Countess of Orford, titleForm, Countess + territorial designation Orford]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
-
C.
titleRepresents
Indicates that a given title stands for, denotes, or symbolizes a particular concept, role, work, or entity.
-
D.
titleSystem
Indicates that a system assigns or holds a formal title or designation for an entity.
-
E.
titleComponent
chosen
Indicates that one entity is a component or segment of the overall title associated with 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98f5f4881908d9aa0f10be44041 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.