Triple
T8186714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evert Taube |
E191202
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Evert |
E166926
|
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: Evert | Statement: [Evert Taube, givenName, Evert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evert Context triple: [Evert Taube, givenName, Evert]
-
A.
Evert
chosen
Evert is a given name and surname of Germanic origin, used as a variant of names like Everett.
-
B.
Chris Evert
Chris Evert is an American former world No. 1 tennis player renowned for her exceptional consistency, baseline game, and multiple Grand Slam singles titles during the 1970s and 1980s.
-
C.
Joanna Roos
Joanna Roos was an American stage, film, and television actress active in the mid-20th century.
-
D.
Newcombe
Newcombe is a surname of English origin borne by various notable individuals in fields such as sports, science, and public life.
-
E.
Steffi Graf
Steffi Graf is a German former professional tennis player widely regarded as one of the greatest in history, known for winning 22 Grand Slam singles titles and achieving a calendar-year Golden Slam in 1988.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4d9e01208190842170abf62d9afb |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced7a109c819092d43d9e3cfc0706 |
completed | April 1, 2026, 10:03 a.m. |
Created at: March 30, 2026, 5:41 p.m.