Triple
T31874751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire Smith-Wyman |
E813707
|
entity |
| Predicate | letterWrittenFrom |
P173462
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Claire Smith-Wyman, letterWrittenFrom, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: letterWrittenFrom Context triple: [Claire Smith-Wyman, letterWrittenFrom, Italy]
-
A.
letter3
Indicates that one entity is the third letter (or character) of another entity, typically a string or word.
-
B.
letters
Indicates that one entity is composed of, represented by, or associated with specific alphabetic characters or written symbols.
-
C.
writesLettersTo
Indicates that one entity composes and sends letters directed to another entity.
-
D.
lettersWrittenBetween
Indicates that letters have been written and exchanged between the two entities, reflecting a mutual correspondence.
-
E.
letterType
Indicates the specific category or kind of letter associated with or assigned to an entity.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 30, 2026, 11:55 p.m.