Triple
T17386395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Lurie |
E422697
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jacob Lurie |
—
|
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: Jacob Lurie | Statement: [Jacob Lurie, name, Jacob Lurie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Lurie Context triple: [Jacob Lurie, name, Jacob Lurie]
-
A.
Jacob Lurie
chosen
Jacob Lurie is an American mathematician renowned for his foundational work in higher category theory and derived algebraic geometry, which has profoundly influenced modern algebraic topology and related fields.
-
B.
Benjamin Loeb
Benjamin Loeb is a Norwegian cinematographer known for his visually distinctive work on films such as "Pieces of a Woman."
-
C.
Nicholas Shehadie
Nicholas Shehadie was an Australian rugby union player and administrator who later became a prominent public figure and Lord Mayor of Sydney.
-
D.
Michael Sacks
Michael Sacks is an American actor best known for his role as Billy Pilgrim in the film adaptation of Kurt Vonnegut’s "Slaughterhouse-Five."
-
E.
Pavel Etingof
Pavel Etingof is a Russian-American mathematician known for his influential work in representation theory, quantum groups, and mathematical physics.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a89c5008190a277a68e5cfe67b7 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.