Triple
T5545084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nixon v. Fitzgerald |
E145385
|
entity |
| Predicate | typeOfImmunity |
P15826
|
FINISHED |
| Object | absolute immunity |
—
|
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: absolute immunity | Statement: [Nixon v. Fitzgerald, typeOfImmunity, absolute immunity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfImmunity Context triple: [Nixon v. Fitzgerald, typeOfImmunity, absolute immunity]
-
A.
immuneResponseType
Indicates the specific kind or category of immune reaction that occurs in response to a particular stimulus or agent.
-
B.
antibodyType
Indicates the specific class or subtype of an antibody involved in the described relationship or context.
-
C.
typeOfResistance
Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
-
D.
protectionType
chosen
Indicates the kind or method of protection that is applied to or associated with an entity.
-
E.
covid19VaccineType
Indicates the specific type or category of COVID-19 vaccine associated with an entity.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fcc75448190a4c47ded65591345 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.