Triple
T29986231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Brandt |
E761741
|
entity |
| Predicate | hasNotableWorkTheme |
P201579
|
FINISHED |
| Object | disappearing wildlife |
—
|
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: disappearing wildlife | Statement: [Nicholas Brandt, hasNotableWorkTheme, disappearing wildlife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWorkTheme Context triple: [Nicholas Brandt, hasNotableWorkTheme, disappearing wildlife]
-
A.
hasNotableWorkCategory
Indicates that an entity’s notable work belongs to, or is classified under, a particular category or type.
-
B.
hasNotableWorkSection
Indicates that a notable work is associated with a specific section or part of a larger work or document.
-
C.
hasNotableWorkExample
Indicates that an entity has a specific notable work cited as an example associated with it.
-
D.
hasNotableWorkSetThere
Indicates that a notable work (such as a book, film, or other creative piece) is set in or takes place within the referenced location.
-
E.
hasNotableWorkCollection
Indicates that an entity is associated with a collection of its notable works or creations.
- F. None of above. chosen
Provenance (4 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
| PDg | Predicate description generation | batch_6a000821b12c819093ca3b3dc0cff370 |
completed | May 10, 2026, 4:22 a.m. |
Created at: April 29, 2026, 6:36 p.m.