Triple
T22219485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurie Kenyon |
E549170
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | All Around the Town |
—
|
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: All Around the Town | Statement: [Laurie Kenyon, appearsIn, All Around the Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Around the Town Context triple: [Laurie Kenyon, appearsIn, All Around the Town]
-
A.
All Around the Town
chosen
All Around the Town is a psychological suspense novel by Mary Higgins Clark that follows a young woman accused of murdering her professor while grappling with traumatic memories and multiple personalities.
-
B.
Town to Town
"Town to Town" is a 1981 contemporary Christian and progressive rock album by virtuoso guitarist and singer-songwriter Phil Keaggy.
-
C.
All Over the Town
All Over the Town is a British film featuring actress Sarah Churchill in a prominent role.
-
D.
All Over Town
All Over Town is a stage play by American playwright Murray Schisgal, known for its comedic exploration of relationships and urban life.
-
E.
Streets of Your Town
"Streets of Your Town" is a melodic indie pop song by Australian band The Go-Betweens, known for its bright, jangly sound contrasted with darker lyrical themes.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8edd288190a49f10e009122057 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.