Triple
T9435831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Owens |
E227502
|
entity |
| Predicate | programTypeWorkedOn |
P45535
|
FINISHED |
| Object | news magazine program |
—
|
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: news magazine program | Statement: [Bill Owens, programTypeWorkedOn, news magazine program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programTypeWorkedOn Context triple: [Bill Owens, programTypeWorkedOn, news magazine program]
-
A.
scriptTypeWorkedOn
Indicates the type or category of script that an entity has worked on or contributed to.
-
B.
worksOnProgram
Indicates that an entity is actively involved in contributing effort or performing tasks on a particular program.
-
C.
workTypeContributedTo
chosen
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
D.
platformsOfWork
Indicates the work-related platforms or environments through which an entity performs, offers, or organizes work.
-
E.
productTypeWorkedOn
Indicates that an entity has worked on or been involved in creating, developing, or handling a particular type of product.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e64109081908222f590928bc572 |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:50 p.m.