Triple
T38609078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Lyon, 9th Lord Glamis |
E934424
|
entity |
| Predicate | titleLaterStyledAs |
P201838
|
FINISHED |
| Object | Earl of Strathmore and Kinghorne |
—
|
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: Earl of Strathmore and Kinghorne | Statement: [Patrick Lyon, 9th Lord Glamis, titleLaterStyledAs, Earl of Strathmore and Kinghorne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleLaterStyledAs Context triple: [Patrick Lyon, 9th Lord Glamis, titleLaterStyledAs, Earl of Strathmore and Kinghorne]
-
A.
laterTitleHolder
Indicates that one entity is a subsequent holder of a particular title or position previously held by another entity.
-
B.
titleAfterCase
Indicates that a title or designation is assigned to or used for an entity only after a particular case, event, or legal proceeding has occurred.
-
C.
titlesStyle
Indicates the stylistic convention or formatting applied to titles in a given context or resource.
-
D.
titleStylization
Indicates how the written form of a title is stylistically presented, such as through capitalization, spacing, punctuation, or special formatting.
-
E.
hasLaterTitle
Indicates that one title occurs chronologically after another title in a sequence or timeline.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0027e4a59481909417b2531daaf480 |
completed | May 10, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a0026a42bc08190ad3322ce625a523a |
completed | May 10, 2026, 6:33 a.m. |
| PDg | Predicate description generation | batch_6a0027e384d08190ad92a6a21c8f84b5 |
completed | May 10, 2026, 6:38 a.m. |
Created at: May 3, 2026, 4:32 p.m.