Triple
T16873215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray Schisgal |
E421226
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | All Over Town |
E1237748
|
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: All Over Town | Statement: [Murray Schisgal, notableWork, All Over Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Over Town Context triple: [Murray Schisgal, notableWork, All Over Town]
-
A.
All Over Town
chosen
All Over Town is a stage play by American playwright Murray Schisgal, known for its comedic exploration of relationships and urban life.
-
B.
All Over the Town
All Over the Town is a British film featuring actress Sarah Churchill in a prominent role.
-
C.
Goin' to Town
"Goin' to Town" is a 1935 American comedy film starring Mae West, known for its witty dialogue and West's trademark bold, comedic persona.
-
D.
All Around the Town
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.
-
E.
Other Side of Town
"Other Side of Town" is a song featured on the 1999 album *Scream* by the American rock band Ozzy Osbourne.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f40410819088db22fa0d1eb808 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a27f548190963c35f40f4420f8 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.