Triple
T5497820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erin Jobs |
E144253
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jobs |
E7927
|
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: Jobs | Statement: [Erin Jobs, familyName, Jobs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jobs Context triple: [Erin Jobs, familyName, Jobs]
-
A.
Jobs
chosen
Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
-
B.
Jobs
Jobs is a 2013 biographical drama film depicting the life and career of Apple co-founder Steve Jobs.
-
C.
Prace
Prace is a small village in the South Moravian Region of the Czech Republic, known for its proximity to the historic town of Slavkov u Brna (Austerlitz).
-
D.
Careers Center
The Careers Center is a student support facility at Anne Arundel Community College that provides career exploration, advising, and job search resources.
-
E.
ZipRecruiter
ZipRecruiter is an online employment marketplace that connects employers with job seekers through a large job board and AI-driven matching tools.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01b8f28448190bfd58c36798d7b75 |
completed | March 22, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0278d78dc81908de78e2d3f5c71ed |
completed | March 22, 2026, 5:31 p.m. |
Created at: March 22, 2026, 3:32 p.m.