Triple
T12564015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snider |
E295420
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Jacob Snider |
E718172
|
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: Jacob Snider | Statement: [Snider, hasNotableBearer, Jacob Snider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Snider Context triple: [Snider, hasNotableBearer, Jacob Snider]
-
A.
Jacob Snider
chosen
Jacob Snider was a 19th-century American inventor best known for developing the Snider–Enfield breech-loading rifle conversion used by the British Army.
-
B.
Samuel Snider
Samuel Snider was a 19th-century American politician who served as a U.S. Representative from Minnesota.
-
C.
Nathan Schiff
Nathan Schiff is an American underground filmmaker best known for his ultra-low-budget, gore-heavy horror movies that gained a cult following.
-
D.
Joshua Jortner
Joshua Jortner is an Israeli physical chemist renowned for his pioneering work in molecular dynamics and chemical physics, and for his influential role in advancing Israel’s scientific community.
-
E.
Nathan Resnick
Nathan Resnick is an American entrepreneur best known as the founder and CEO of Sourcify, a platform that helps companies streamline and manage their product manufacturing overseas.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb71c548190826d243a354bd01c |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 11:49 p.m.