Triple
T16627304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry, Bishop of Winchester |
E403982
|
entity |
| Predicate | startTimeAsAbbotOfGlastonbury |
P123624
|
FINISHED |
| Object | 1126 |
—
|
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: 1126 | Statement: [Henry, Bishop of Winchester, startTimeAsAbbotOfGlastonbury, 1126]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsAbbotOfGlastonbury Context triple: [Henry, Bishop of Winchester, startTimeAsAbbotOfGlastonbury, 1126]
-
A.
startTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual began serving as Archbishop of Canterbury.
-
B.
constructionOfAbbeyBegan
Indicates that the process of building or establishing an abbey was initiated.
-
C.
currentAbbotStartYear
Indicates the year in which the current abbot began serving in their role.
-
D.
startTimeAsArchbishopOfBoston
Indicates the date and time when an individual began serving in the role of Archbishop of Boston.
-
E.
abbeyOriginCentury
Indicates the century in which an abbey was originally founded or established.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e2683481908c9a5ed895a09a6e |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.