Triple
T8466594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parsons |
E200177
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Parson |
E282731
|
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: Parson | Statement: [Parsons, hasVariant, Parson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parson Context triple: [Parsons, hasVariant, Parson]
-
A.
Parson
chosen
Parson is a devout and morally upright clergyman in Geoffrey Chaucer’s *The Canterbury Tales*, often seen as the ideal religious figure among the pilgrims.
-
B.
Shepherd
Shepherd is the customizable space explorer protagonist introduced in Pikmin 4, leading squads of Pikmin on rescue and exploration missions.
-
C.
Shepherd
Shepherd is a common English occupational surname originally given to people who tended sheep.
-
D.
Bosley
Bosley is a surname most famously associated with American actor Tom Bosley, known for his role as Howard Cunningham on the television series "Happy Days."
-
E.
Prancer
Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d17ec8819093becdaec750aff5 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39ead11c8190bf1524713a44a6fe |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.