Triple
T20877361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer Tom Hanson |
E514053
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hanson |
—
|
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: Hanson | Statement: [Officer Tom Hanson, familyName, Hanson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanson Context triple: [Officer Tom Hanson, familyName, Hanson]
-
A.
Hanson
Hanson is an American pop-rock band best known for their 1997 hit single "MMMBop."
-
B.
Hanson
chosen
Hanson is a surname most notably associated with American film director and screenwriter Curtis Hanson.
-
C.
Hanson
Hanson is a small town in Plymouth County, Massachusetts, known for its suburban residential character and New England charm.
-
D.
Hanson Brother
Hanson Brother is one of the fictional, hard-hitting hockey enforcers from the cult sports comedy film "Slap Shot."
-
E.
One Hanson
One Hanson is a landmark Art Deco skyscraper in Downtown Brooklyn, New York, formerly the Williamsburgh Savings Bank Tower and now a prominent mixed-use residential and commercial building.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6767ec0819080721e2e75bd0d66 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.