Triple
T26156124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Child |
E659965
|
entity |
| Predicate | titleHeldAfterMarriage |
P21956
|
FINISHED |
| Object | Countess of Westmorland |
—
|
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: Countess of Westmorland | Statement: [Sarah Child, titleHeldAfterMarriage, Countess of Westmorland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHeldAfterMarriage Context triple: [Sarah Child, titleHeldAfterMarriage, Countess of Westmorland]
-
A.
titleHeldAfter
Indicates that one entity held a particular title or position after another entity, establishing a temporal succession in holding that title.
-
B.
marriageThroughWhichTitleHeld
chosen
Indicates that a noble or formal title is held by a person specifically by virtue of (i.e., as a result of) a particular marriage.
-
C.
spouseTitleOfSecondHusband
Indicates that the object is the formal title or designation held by a person’s second husband.
-
D.
hasSpouseTitle
Indicates that a person’s spouse holds a particular title or honorific designation.
-
E.
laterMarriedName
Indicates that the referenced name is a surname or full name a person adopted after a later marriage, replacing or succeeding their previous name.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 26, 2026, 8:27 p.m.