Triple
T4926325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysbeth Reyniersdr |
E110584
|
entity |
| Predicate | hasMentionIn |
P26173
|
FINISHED |
| Object | biographical studies of Frans Hals |
—
|
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: biographical studies of Frans Hals | Statement: [Lysbeth Reyniersdr, hasMentionIn, biographical studies of Frans Hals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMentionIn Context triple: [Lysbeth Reyniersdr, hasMentionIn, biographical studies of Frans Hals]
-
A.
eraMentioned
Indicates that a specific historical or temporal era is explicitly referenced or mentioned in a given context.
-
B.
mentionedAs
chosen
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
C.
mentions
Indicates that one entity refers to, cites, or brings up another entity in some form of communication or content.
-
D.
hasNotablePhrase
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
-
E.
hasNotableWord
Indicates that an entity is associated with a word or term that is considered notable, distinctive, or significant in some context.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70354bd081909291a43439f42ed3 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.