Triple
T28002015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna O. |
E707171
|
entity |
| Predicate | caseDescribedIn |
P519
|
FINISHED |
| Object | Studies on Hysteria |
—
|
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: Studies on Hysteria | Statement: [Anna O., caseDescribedIn, Studies on Hysteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caseDescribedIn Context triple: [Anna O., caseDescribedIn, Studies on Hysteria]
-
A.
baseCaseDescription
Indicates that something provides the fundamental or simplest explanatory case used as the starting point in a definition, process, or reasoning chain.
-
B.
describedIn
chosen
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
C.
indexCaseDescription
Indicates a textual description that explains the circumstances, characteristics, or details of the initial or primary case in a set of related cases.
-
D.
conditionsDescribedAs
Indicates that one entity is described or characterized in terms of certain conditions specified by another entity.
-
E.
caseDecidedIn
Indicates that a particular legal case was resolved or adjudicated within a specified court, jurisdiction, or decision-making body.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63bd2dc3c81908ee2471fa32c7841 |
completed | May 2, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:57 p.m.