Triple
T15335779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosalind Harris |
E366660
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object | Tzeitel |
E918843
|
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: Tzeitel | Statement: [Rosalind Harris, characterRole, Tzeitel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tzeitel Context triple: [Rosalind Harris, characterRole, Tzeitel]
-
A.
Dolly Levi
Dolly Levi is the charismatic, matchmaking widow who serves as the central character in the musical "Hello, Dolly!"
-
B.
Tevye
Tevye is the central dairyman character and philosophical narrator of Sholem Aleichem’s stories, best known as the protagonist of the musical and film "Fiddler on the Roof."
-
C.
Hodel
chosen
Hodel is a central character in the musical "Fiddler on the Roof," known as one of Tevye’s daughters who challenges tradition through her love and political idealism.
-
D.
Dvora Teitelbaum
Dvora Teitelbaum is a scientist known for her research collaborations with immunologist Ruth Arnon, particularly in the field of biomedical science.
-
E.
Truida Pohl
Truida Pohl was the wife of prominent Afrikaans poet and intellectual N. P. van Wyk Louw.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f11b88819089342e8b088bc95e |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.