Triple
T2246389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count László de Almásy |
E49513
|
entity |
| Predicate | usesBookAs |
P36463
|
FINISHED |
| Object | personal notebook |
—
|
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: personal notebook | Statement: [Count László de Almásy, usesBookAs, personal notebook]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBookAs Context triple: [Count László de Almásy, usesBookAs, personal notebook]
-
A.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
B.
hasBook
Indicates that an entity possesses, owns, or is associated with a particular book.
-
C.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
D.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
E.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ec46b08190ae12de8b255eb71d |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.