Triple
T15991078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizzie Borden Took an Ax |
E387825
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Tree Adams |
E387883
|
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: Tree Adams | Statement: [Lizzie Borden Took an Ax, composer, Tree Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tree Adams Context triple: [Lizzie Borden Took an Ax, composer, Tree Adams]
-
A.
Tree Adams
chosen
Tree Adams is an American composer and musician known for scoring numerous film and television projects, including genre and crime dramas.
-
B.
John Potts
John Potts was an 18th-century ironmaster and founder of the town that became Pottstown, Pennsylvania.
-
C.
Will Adams
Will Adams is the birth name of will.i.am, the American rapper, singer, songwriter, and producer best known as a founding member of the Black Eyed Peas.
-
D.
James Dodd
James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
-
E.
John Davenport
John Davenport was a prominent 17th-century English Puritan clergyman and co-founder of the New Haven Colony in New England.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157835cac81909e979f9be281f328 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d3ef2881909213ff608192f1ef |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.