Triple
T5156527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klara Zamenhof |
E116323
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Klara |
E339402
|
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: Klara | Statement: [Klara Zamenhof, givenName, Klara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klara Context triple: [Klara Zamenhof, givenName, Klara]
-
A.
Klara
chosen
Klara is the given first name of Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl.
-
B.
Klara and the Sun
Klara and the Sun is a dystopian science fiction novel by Kazuo Ishiguro that explores artificial intelligence, love, and what it means to be human through the perspective of an artificial friend.
-
C.
Clara
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
-
D.
Clara
Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
-
E.
Tebbe
Tebbe is a German surname that serves as the etymological root for the name Tibbets.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79019c6481909641f173c5b3769a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed0123bc48190920f60fc29f64734 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:44 p.m.