Triple
T20807924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stablemates |
E512212
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Edward Pawley |
—
|
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: Edward Pawley | Statement: [Stablemates, starring, Edward Pawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Pawley Context triple: [Stablemates, starring, Edward Pawley]
-
A.
Edward Pawley
chosen
Edward Pawley was an American actor known for his work in 1930s and 1940s films and radio dramas.
-
B.
Andrew Pawley
Andrew Pawley was a prominent linguist known for his influential work on Oceanic and Papuan languages, including the Northwest Solomonic group.
-
C.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
-
D.
Alan Parrish
Alan Parrish is the adventurous boy-turned-man trapped for decades inside a magical, dangerous board game in the fantasy film "Jumanji."
-
E.
Ted Braitling
Ted Braitling is the person after whom the locality of Braitling in the Northern Territory, Australia, is named, likely recognized for his significance in the region’s history or development.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.