Triple
T4745849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Demand |
E105358
|
entity |
| Predicate | workProcess |
P30363
|
FINISHED |
| Object | reconstructs scenes from media images |
—
|
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: reconstructs scenes from media images | Statement: [Thomas Demand, workProcess, reconstructs scenes from media images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workProcess Context triple: [Thomas Demand, workProcess, reconstructs scenes from media images]
-
A.
workOn
chosen
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
-
B.
worksStatus
Indicates the current state or condition of an entity’s work or project, such as whether it is planned, in progress, completed, or otherwise categorized.
-
C.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
D.
workModel
Indicates that one entity serves as, or is based on, a particular model used for work, operation, or functional behavior.
-
E.
workBy
Indicates that a work (such as a creation, product, or result) is produced, authored, or created by a particular agent or 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64ab946481909eccdb3e8c5d1f6a |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.