Triple
T7234655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Patay |
E155191
|
entity |
| Predicate | notableCapture |
P75934
|
FINISHED |
| Object | John Talbot, 1st Earl of Shrewsbury captured by the French |
—
|
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: John Talbot, 1st Earl of Shrewsbury captured by the French | Statement: [Battle of Patay, notableCapture, John Talbot, 1st Earl of Shrewsbury captured by the French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCapture Context triple: [Battle of Patay, notableCapture, John Talbot, 1st Earl of Shrewsbury captured by the French]
-
A.
notableAccess
Indicates that one entity has significant or privileged access to another entity, resource, or location.
-
B.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
C.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
D.
notableStudio
Indicates that an entity is a studio (e.g., film, music, game, or animation studio) that is especially prominent, influential, or widely recognized in relation to the subject entity.
-
E.
notableMode
Indicates that the subject is recognized for or distinguished by the specified mode, manner, or method of operation or expression.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6ea539f5c81908001524149903559 |
completed | March 27, 2026, 8:36 p.m. |
Created at: March 27, 2026, 2:55 p.m.