Triple
T20362699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donella Meadows |
E496821
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Meadows |
—
|
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: Meadows | Statement: [Donella Meadows, familyName, Meadows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meadows Context triple: [Donella Meadows, familyName, Meadows]
-
A.
Meadows
Meadows is a small community located near the Bay of Islands in Newfoundland and Labrador, Canada.
-
B.
Meadows
chosen
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
-
C.
Meadow
Meadow is a central character in the animated film and TV special "Entergalactic," serving as the love interest and artistic counterpart to protagonist Jabari.
-
D.
Green Meadows
Green Meadows is a surf break located along New Zealand’s Surf Highway 45, known for its consistent waves and scenic coastal setting.
-
E.
Green Meadows
Green Meadows is a residential neighborhood in South Los Angeles known for its dense urban character and predominantly working-class community.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786efd2c8190821932ddcdef1a2f |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.