Triple
T8625505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The End of St. Petersburg |
E204270
|
entity |
| Predicate | writtenBy |
P806
|
FINISHED |
| Object | Nathan Zarkhi |
E747556
|
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: Nathan Zarkhi | Statement: [The End of St. Petersburg, writtenBy, Nathan Zarkhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Zarkhi Context triple: [The End of St. Petersburg, writtenBy, Nathan Zarkhi]
-
A.
Nathan Zarkhi
chosen
Nathan Zarkhi was a screenwriter known for his work on early Soviet cinema, including contributing to the script of the 1926 film "Mother."
-
B.
Adam Zertal
Adam Zertal was an Israeli archaeologist best known for his extensive excavations and research in the biblical heartland of Samaria, including the controversial site on Mount Ebal.
-
C.
Nathan Cohen
Nathan Cohen is the paternal grandfather of Lorca Cohen, the daughter of renowned Canadian singer-songwriter Leonard Cohen.
-
D.
Max Zaritsky
Max Zaritsky was an American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
-
E.
Nathan Waks
Nathan Waks is an Australian cellist, composer, and music producer known for his work on film scores and classical music projects.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc472a07908190a2368975459543f9 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc9abd1081909d45af7498ec7c34 |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:26 p.m.