Triple
T19998812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Jobs |
E494264
|
entity |
| Predicate | originallyBasedOn |
P34379
|
FINISHED |
| Object | segment on Evening Magazine |
—
|
LITERAL 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: segment on Evening Magazine | Statement: [Dirty Jobs, originallyBasedOn, segment on Evening Magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyBasedOn Context triple: [Dirty Jobs, originallyBasedOn, segment on Evening Magazine]
-
A.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
B.
originallyAppearedOn
Indicates the original source or platform where something (such as a work, content, or item) was first published, released, or made available.
-
C.
originallyIn
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
D.
becameBasisOf
chosen
Indicates that one entity served as the foundational source, model, or starting point upon which another entity was developed, derived, or established.
-
E.
areBasedOn
Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
- F. None of above.
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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a09bdc819083305b08a11c6e34 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:32 p.m.