Triple
T5133856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Meadows |
E115767
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Meadows |
E115767
|
NE 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: Meadows | Statement: [Kenny Meadows, familyName, Meadows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meadows Context triple: [Kenny Meadows, familyName, Meadows]
-
A.
Meadows
chosen
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
-
B.
The Meadows
The Meadows is a central shopping complex in Chelmsford, England, featuring a range of retail stores, eateries, and services.
-
C.
Greenmeadow
Greenmeadow is a residential neighbourhood within the town of Cwmbran in South Wales.
-
D.
Sandfields
Sandfields is a coastal residential and industrial area within the county borough of Neath Port Talbot in South Wales.
-
E.
Long Meadow
Long Meadow is a vast, uninterrupted stretch of open lawn in Brooklyn’s Prospect Park, known as one of the longest continuous meadows in any U.S. urban park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd784ca5ac81909f1ec7544f5bbd26 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefa31458819094b53cbc7a2f5677 |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:43 p.m.