Triple
T19186830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A safe operating space for humanity |
E469722
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | Brian Walker |
—
|
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: Brian Walker | Statement: [A safe operating space for humanity, hasAuthor, Brian Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Walker Context triple: [A safe operating space for humanity, hasAuthor, Brian Walker]
-
A.
Brian Walker
Brian Walker is a fictional character from the 1975 romantic drama film "Mahogany," which stars Diana Ross as an aspiring fashion designer.
-
B.
Brian Walker
chosen
Brian Walker is an Australian ecologist and resilience scientist renowned for his pioneering work on social-ecological systems and sustainability.
-
C.
Jeff Walker
Jeff Walker is an English musician best known as the bassist and vocalist for the influential extreme metal band Carcass.
-
D.
Matt Walker
Matt Walker is the son of former Wisconsin governor and Republican politician Scott Walker.
-
E.
Matt Walker
Matt Walker is a film producer best known for his work on Disney animated features such as *The Great Mouse Detective*.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f620f1f08190a0daaf0d1483d724 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.