Triple
T32895152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penny Fleck |
E841448
|
entity |
| Predicate | institutionalizationStatus |
P22425
|
FINISHED |
| Object | hospitalized in a mental health facility |
—
|
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: hospitalized in a mental health facility | Statement: [Penny Fleck, institutionalizationStatus, hospitalized in a mental health facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionalizationStatus Context triple: [Penny Fleck, institutionalizationStatus, hospitalized in a mental health facility]
-
A.
residencyStatus
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
B.
regulatedStatusOf
Indicates that one entity has regulatory authority or control over the status or condition of another entity.
-
C.
detaineeStatus
Indicates the current legal or custodial condition of a person being detained, such as whether they are in custody, released, or under a specific detention regime.
-
D.
adoptionStatus
Indicates the current state or outcome of an adoption relationship or process between entities.
-
E.
hospitalizedIn
chosen
Indicates that a person or patient is admitted for medical care and staying as an inpatient in a specified hospital or healthcare facility.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:18 a.m.