Triple
T16247638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bus Stop (play) |
E394414
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Virgil Blessing |
E394417
|
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: Virgil Blessing | Statement: [Bus Stop (play), hasMainCharacter, Virgil Blessing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgil Blessing Context triple: [Bus Stop (play), hasMainCharacter, Virgil Blessing]
-
A.
Virgil Blessing
chosen
Virgil Blessing is a character in William Inge’s play "Bus Stop," serving as a middle-aged ranch foreman who provides a grounded, paternal presence amid the romantic and emotional turmoil of the story.
-
B.
Virgil Miller
Virgil Miller was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood genre films.
-
C.
Vernon Lindsay Vaughn
Vernon Lindsay Vaughn is the son of American actor and comedian Vince Vaughn.
-
D.
Cecil Purdy
Cecil Purdy was an Australian chess player, writer, and the first official World Correspondence Chess Champion, renowned for his instructional contributions to the game.
-
E.
Robert Vaught
Robert Vaught was an American logician and mathematician known for his influential work in model theory and mathematical logic.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245942460819080897afad0d2fe09 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee3bbc48190a56ce2807a9510f0 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.