Triple
T3799073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Austin |
E91643
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Austin |
E91643
|
NE 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: John Austin | Statement: [John Austin, name, John Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Austin Context triple: [John Austin, name, John Austin]
-
A.
John Austin
chosen
John Austin was a 19th-century English legal theorist best known for developing the theory of legal positivism, which distinguishes law as it is from law as it ought to be.
-
B.
John Finnis
John Finnis is a prominent legal philosopher best known for his work on natural law theory and his influential book "Natural Law and Natural Rights."
-
C.
John C. Austin
John C. Austin was a prominent early 20th-century American architect known for shaping the civic and cultural landscape of Los Angeles through several landmark buildings.
-
D.
Ronald Dworkin
Ronald Dworkin was a prominent American legal and political philosopher known for his theory of law as integrity and his influential work on rights, equality, and constitutional interpretation.
-
E.
John P.N. Austin
John P.N. Austin is an American educator who has served as the head of school at the prestigious Deerfield Academy in Massachusetts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7a43c408190a54cff649f63e69f |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f064471881908b52b2f64e50a83d |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:15 p.m.