Triple
T19526565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Tree |
E488533
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dorothy Tree |
—
|
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: Dorothy Tree | Statement: [Dorothy Tree, name, Dorothy Tree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy Tree Context triple: [Dorothy Tree, name, Dorothy Tree]
-
A.
Dorothy Tree
chosen
Dorothy Tree was an American character actress and acting teacher known for her supporting roles in numerous films from the 1930s to the 1950s and for coaching many prominent performers.
-
B.
Dorothy Vallens
Dorothy Vallens is a troubled nightclub singer at the center of the dark, surreal mystery in David Lynch's film "Blue Velvet."
-
C.
Ms. Tree
Ms. Tree is a hard-boiled crime comic series created by Max Allan Collins, featuring a tough female private investigator who navigates gritty, noir-style mysteries.
-
D.
Dorothy Good
Dorothy Good was a young child accused of witchcraft during the Salem witch trials in colonial Massachusetts.
-
E.
Dorothy Spinner
Dorothy Spinner is a DC Comics character associated with the Doom Patrol, known for her simian-like appearance and powerful ability to bring imaginary beings to life.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363aeb8c8190be2bdd73e421af96 |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.