Triple
T15659760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dybbuk |
E376537
|
entity |
| Predicate | religiousFigureCharacter |
P70093
|
FINISHED |
| Object | dayan |
E385210
|
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: dayan | Statement: [The Dybbuk, religiousFigureCharacter, dayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dayan Context triple: [The Dybbuk, religiousFigureCharacter, dayan]
-
A.
dayan
chosen
A dayan is a Jewish religious judge who serves on a rabbinical court to decide matters of Jewish law.
-
B.
Daag
Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
-
C.
DAY
DAY is the three-letter IATA airport code assigned to Dayton International Airport in Dayton, Ohio.
-
D.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
E.
Day
"Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679bb7f0819092a98c2981bc9267 |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:15 a.m.