Triple
T19619592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Yaffe |
E470962
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Yaffe
Yaffe is a surname of Jewish origin borne by various individuals, including those in public, academic, and cultural fields.
|
E1387193
|
NE FINISHED |
How this triple was built (4 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: Yaffe | Statement: [Jeremy Yaffe, familyName, Yaffe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaffe Context triple: [Jeremy Yaffe, familyName, Yaffe]
-
A.
Savyon
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
-
B.
Jaffe
Jaffe is a surname most notably associated with American film producer Stanley R. Jaffe, known for his work on acclaimed movies such as "Kramer vs. Kramer."
-
C.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
-
D.
Meisel
Meisel is a German-language surname borne by various notable individuals in fields such as music, academia, and public life.
-
E.
Yehudi
Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yaffe Triple: [Jeremy Yaffe, familyName, Yaffe]
Generated description
Yaffe is a surname of Jewish origin borne by various individuals, including those in public, academic, and cultural fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yaffe Target entity description: Yaffe is a surname of Jewish origin borne by various individuals, including those in public, academic, and cultural fields.
-
A.
Savyon
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
-
B.
Jaffe
Jaffe is a surname most notably associated with American film producer Stanley R. Jaffe, known for his work on acclaimed movies such as "Kramer vs. Kramer."
-
C.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
-
D.
Meisel
Meisel is a German-language surname borne by various notable individuals in fields such as music, academia, and public life.
-
E.
Yehudi
Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
- F. None of above. chosen
Provenance (5 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e4570c81909fc4f9b871346337 |
completed | April 20, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771b823e0819092d7a9ffb3e0c728 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a0772c372148190a09475bf5c6515d2 |
completed | May 15, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a077334652c8190b044d444e3004f29 |
completed | May 15, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:43 p.m.