Triple
T19186831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A safe operating space for humanity |
E469722
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | Diana Liverman |
—
|
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: Diana Liverman | Statement: [A safe operating space for humanity, hasAuthor, Diana Liverman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Liverman Context triple: [A safe operating space for humanity, hasAuthor, Diana Liverman]
-
A.
Diana Liverman
chosen
Diana Liverman is a prominent environmental geographer known for her influential research on climate change, vulnerability, and sustainable development.
-
B.
Kathleen Wilhoite
Kathleen Wilhoite is an American actress and singer-songwriter known for her character roles in film and television, including appearances in projects like "Lorenzo's Oil," "ER," and "Gilmore Girls."
-
C.
Diana Erwin
Diana Erwin is a screenwriter best known for writing the 2010 horror film "Chain Letter."
-
D.
Kathleen Snodgrass
Kathleen Snodgrass is known as the spouse of Pulitzer Prize–winning American poet W. D. Snodgrass.
-
E.
Diana Sowle
Diana Sowle was an American actress best known for playing Charlie Bucket’s mother in the 1971 film "Willy Wonka & the Chocolate Factory."
- 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.