Triple
T22670448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | More Songs About Buildings and Food |
E559903
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Found a Job |
—
|
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: Found a Job | Statement: [More Songs About Buildings and Food, hasPart, Found a Job]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Found a Job Context triple: [More Songs About Buildings and Food, hasPart, Found a Job]
-
A.
Found a Job
chosen
"Found a Job" is a song by the American rock band Talking Heads, known for its witty commentary on television culture and its appearance on their 1979 album "Fear of Music."
-
B.
GOOD Job, You Found Me
"GOOD Job, You Found Me" is a music project by Chicago rapper Valee that showcases his laid-back delivery and off-kilter, minimalist trap style.
-
C.
Jobs
Jobs is a 2013 biographical drama film depicting the life and career of Apple co-founder Steve Jobs.
-
D.
Jobs
Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
-
E.
Jobcenter
Jobcenter is a German public agency responsible for providing and managing basic income support and employment services for long-term unemployed people.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781f946c8190add74a7dac2b1819 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.