Triple
T9443196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Niit |
E227698
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ellen Niit |
E227698
|
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: Ellen Niit | Statement: [Ellen Niit, name, Ellen Niit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Niit Context triple: [Ellen Niit, name, Ellen Niit]
-
A.
Ellen Niit
chosen
Ellen Niit was an Estonian poet, children's writer, and translator known for her influential contributions to 20th-century Estonian literature.
-
B.
Ellen Thesleff
Ellen Thesleff was a Finnish painter known for her Symbolist and later Expressionist works, and is regarded as one of the most important women artists in Finnish art history.
-
C.
Ellen Benz
Ellen Benz was a daughter of German engineer and automobile pioneer Karl Benz.
-
D.
Erika Eleniak
Erika Eleniak is an American actress and former Playboy Playmate best known for her roles in the TV series "Baywatch" and films such as "Under Siege."
-
E.
Kimberly Ellerth
Kimberly Ellerth is the former Burlington Industries employee whose sexual harassment lawsuit led to the landmark U.S. Supreme Court decision in Burlington Industries, Inc. v. Ellerth, which clarified employer liability for workplace harassment.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f3171248190b92ab990371e63f5 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110627f3881908736497901a5eba8 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:51 p.m.