Triple
T6702712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teri Garr |
E152918
|
entity |
| Predicate | publiclyAnnouncedDiagnosisYear |
P48219
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Teri Garr, publiclyAnnouncedDiagnosisYear, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publiclyAnnouncedDiagnosisYear Context triple: [Teri Garr, publiclyAnnouncedDiagnosisYear, 2002]
-
A.
diagnosisYear
Indicates the calendar year in which a diagnosis was made or recorded for an entity.
-
B.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
-
C.
yearOfPublicDisclosure
chosen
Indicates the calendar year in which information, an invention, or other subject matter was first publicly disclosed.
-
D.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
E.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:06 p.m.