Triple
T17238837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Mallon |
E418433
|
entity |
| Predicate | timeInQuarantine |
P106090
|
FINISHED |
| Object | approximately 26 years in total |
—
|
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: approximately 26 years in total | Statement: [Mary Mallon, timeInQuarantine, approximately 26 years in total]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInQuarantine Context triple: [Mary Mallon, timeInQuarantine, approximately 26 years in total]
-
A.
hasQuarantine
chosen
Indicates that an entity is subject to, or associated with, a quarantine condition or period.
-
B.
wasQuarantineStationFor
Indicates that a location served as a designated quarantine facility for a particular group of people, animals, or goods.
-
C.
hasCOVID19Restriction
Indicates that some form of COVID-19–related rule, limitation, or special condition applies to the referenced entity or activity.
-
D.
plagueQuarantine
Indicates that an entity is subjected to or involved in a quarantine imposed in response to a plague or serious epidemic disease.
-
E.
recoveryDuration
Indicates the length of time required for an entity to return to a normal or functional state after an event, condition, or disruption.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfdc8688190aceb223c19a48781 |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.