Triple
T22751811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Brackett |
E562720
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Greenleaf, Indiana |
—
|
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: Greenleaf, Indiana | Statement: [Howard Brackett, residence, Greenleaf, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenleaf, Indiana Context triple: [Howard Brackett, residence, Greenleaf, Indiana]
-
A.
Greenleaf, Indiana
chosen
Greenleaf, Indiana is the fictional small Midwestern town featured in the film "In & Out," known as the home of high school teacher Howard Brackett.
-
B.
Greenfield, Indiana
Greenfield, Indiana is a small Midwestern city best known as the hometown of poet James Whitcomb Riley and as a historic community near Indianapolis.
-
C.
Oaktown, Indiana
Oaktown, Indiana is a small rural town located in southwestern Indiana within Knox County.
-
D.
Greenwood, Indiana
Greenwood, Indiana is a suburban city just south of Indianapolis known for its residential communities, retail centers, and proximity to major transportation routes.
-
E.
Winfield, Indiana
Winfield, Indiana is a small suburban town in northwest Indiana known for its residential communities and proximity to the Chicago metropolitan area.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b9ac348190bff4dc470931f7e3 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.