Triple
T12329849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parry |
E293929
|
entity |
| Predicate | hasEtymologicalRelation |
P5801
|
FINISHED |
| Object | Perry |
E60656
|
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: Perry | Statement: [Parry, hasEtymologicalRelation, Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perry Context triple: [Parry, hasEtymologicalRelation, Perry]
-
A.
Perry
chosen
Perry is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
-
B.
Perry
Perry is the central character in the film "Makers," around whom the story’s main events and themes revolve.
-
C.
Perry
Perry is a small rural town located in Dane County, Wisconsin, known for its agricultural landscape and quiet residential character.
-
D.
Perry
Perry is a small city in northern Utah, United States, known for its rural character and proximity to the Wasatch Mountains and Great Salt Lake.
-
E.
Perry
Perry is a small city in central Georgia known as the county seat of Houston County and for hosting the Georgia National Fair at the Georgia National Fairgrounds and Agricenter.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346a3f34819091882004ab558347 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.