Triple
T7592475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanna |
E179769
|
entity |
| Predicate | spouseName |
P13
|
FINISHED |
| Object | Joseph Karo |
E33645
|
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: Joseph Karo | Statement: [Hanna, spouseName, Joseph Karo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Karo Context triple: [Hanna, spouseName, Joseph Karo]
-
A.
Joseph Karo
chosen
Joseph Karo was a leading 16th-century rabbi and legal scholar best known as the author of the Shulchan Aruch, the foundational code of Jewish law.
-
B.
Samuel Sarphati
Samuel Sarphati was a 19th-century Amsterdam physician, entrepreneur, and urban planner known for his major contributions to the city’s public health and urban development.
-
C.
Benno Levin
Benno Levin is a mysterious, mentally unstable stalker and would-be assassin who obsessively pursues billionaire asset manager Eric Packer in Don DeLillo’s novel "Cosmopolis."
-
D.
Karl Kebach
Karl Kebach was a landscape architect known for designing the park surrounding the Vorontsov Palace in Crimea.
-
E.
Uri Fruchtmann
Uri Fruchtmann is an Israeli film producer and political activist best known for his work in documentary and socially engaged cinema.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b92c348190b547f0aacfb8d6be |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86197fe0881908307a411cabdca7f |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:53 p.m.