Triple
T21481518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minna Gombell |
E530003
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Great Meadow |
—
|
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: The Great Meadow | Statement: [Minna Gombell, notableWork, The Great Meadow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Great Meadow Context triple: [Minna Gombell, notableWork, The Great Meadow]
-
A.
The Great Meadow
chosen
"The Great Meadow" is a 1931 American Western film featuring Guinn "Big Boy" Williams in a prominent role.
-
B.
The Meadows
The Meadows is a central shopping complex in Chelmsford, England, featuring a range of retail stores, eateries, and services.
-
C.
The Meadows
The Meadows is a large public park and green space in central Edinburgh, popular for recreation, sports, and community events.
-
D.
The Meadows
The Meadows is a tranquil, family-oriented residential community in Dubai known for its landscaped parks, lakes, and villa-style homes.
-
E.
Meadowland
Meadowland is a 2015 independent drama film starring Olivia Wilde as a grieving mother coping with the mysterious disappearance of her young son.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.