Triple
T17736364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur O'Connell |
E442727
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bus Stop |
—
|
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: Bus Stop | Statement: [Arthur O'Connell, notableWork, Bus Stop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bus Stop Context triple: [Arthur O'Connell, notableWork, Bus Stop]
-
A.
Bus Stop
chosen
"Bus Stop" is a 1955 romantic comedy-drama play by American playwright William Inge, best known for its small-town setting and exploration of loneliness and human connection.
-
B.
Bus Stop
Bus Stop is a 1956 romantic comedy-drama film starring Marilyn Monroe as a small-town saloon singer pursued by a naive cowboy.
-
C.
bus stand B
Bus stand B is a designated boarding and alighting point for bus services operating from London Bridge bus station in central London.
-
D.
Express Bus Terminal Station
Express Bus Terminal Station is a major transportation hub in Seoul that integrates intercity bus services with multiple subway lines and extensive commercial facilities.
-
E.
Satna bus stand
Satna bus stand is the main bus terminal in Satna, Madhya Pradesh, serving as a key hub for regional and intercity road transport.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478ec48988190a503f9aafeab6d23 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.