Triple
T17346500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quain Professor of Jurisprudence |
E421700
|
entity |
| Predicate | heldBy |
P8
|
FINISHED |
| Object | Joseph Raz |
—
|
NE NERFINISHED |
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: Joseph Raz | Statement: [Quain Professor of Jurisprudence, heldBy, Joseph Raz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Raz Context triple: [Quain Professor of Jurisprudence, heldBy, Joseph Raz]
-
A.
Joseph Raz
chosen
Joseph Raz was a prominent legal and moral philosopher known for his influential work on legal positivism, authority, and the nature of practical reason.
-
B.
Axel Tully
Axel Tully is the legendary progenitor of House Tully, the noble family of Riverrun in the world of A Song of Ice and Fire.
-
C.
Jeremy Waldron
Jeremy Waldron is a prominent legal and political philosopher known for his influential work on constitutionalism, the rule of law, and human rights.
-
D.
Justin Waldron
Justin Waldron is an American entrepreneur best known as a co-founder of the social gaming company Zynga.
-
E.
Jonathan Wolff
Jonathan Wolff is an American musician best known for composing and performing the iconic theme music and scores for the television sitcom Seinfeld.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2923b48190a5d1abd3f535c59f |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:44 a.m.