Triple
T2384465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jobs |
E46386
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Jobes |
E46386
|
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: Jobes | Statement: [Jobs, hasSpellingVariant, Jobes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jobes Context triple: [Jobs, hasSpellingVariant, Jobes]
-
A.
Jobes
chosen
Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
-
B.
The Employer
The Employer is a thriller film featuring Paige Howard in a prominent role.
-
C.
Labori
Labori was a prominent French defense lawyer best known for representing Alfred Dreyfus during the politically charged Dreyfus affair.
-
D.
Joses
Joses is an alternate name for Barnabas, an early Christian disciple and companion of the Apostle Paul mentioned in the New Testament.
-
E.
Joseph the Provider
Joseph the Provider is a volume in Thomas Mann’s four-part novel cycle "Joseph and His Brothers," focusing on the biblical Joseph’s rise to power in Egypt and his role as a wise administrator and savior during famine.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7bc87d0819090cd9d19d748bcc3 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3ccec008190b21c0bf84f8ecd09 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.