Triple
T15982168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affton, Missouri |
E387601
|
entity |
| Predicate | hasNotableResident |
P1092
|
FINISHED |
| Object | Chris Butler |
E1182982
|
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: Chris Butler | Statement: [Affton, Missouri, hasNotableResident, Chris Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Butler Context triple: [Affton, Missouri, hasNotableResident, Chris Butler]
-
A.
Chris Butler
chosen
Chris Butler is an American musician and songwriter best known as the founder and primary songwriter of the new wave band The Waitresses.
-
B.
David Butler
David Butler was an American film director and actor best known for his work on classic Hollywood comedies and musicals from the 1930s to the 1950s.
-
C.
David Butler
David Butler is an actor known for his role in the television series "Seventh Heaven."
-
D.
Chris Spedding
Chris Spedding is an English session guitarist and producer known for his versatile work across rock, pop, and jazz, collaborating with numerous prominent artists since the 1960s.
-
E.
Michael Buckland
Michael Buckland is an American information scientist and librarian known for his influential work on information retrieval, library services, and the theory of information systems.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15755b5548190acfa29eecb11e675 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cb0ed48190b35c19f3961f183b |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.