Triple
T10915717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 636 |
E257816
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Tal Ben-Nun
Tal Ben-Nun is a computer scientist and software engineer known for his contributions to Python, including co-authoring PEP 636 on structural pattern matching.
|
E897701
|
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: Tal Ben-Nun | Statement: [PEP 636, author, Tal Ben-Nun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tal Ben-Nun Context triple: [PEP 636, author, Tal Ben-Nun]
-
A.
Haim Oron
Haim Oron is an Israeli politician and peace activist who led the left-wing Meretz party and served for many years as a member of the Knesset.
-
B.
Moshe Aviv
Moshe Aviv was an Israeli businessman and real estate developer best known for his major role in shaping modern Israeli urban skylines.
-
C.
Ehud Brog
Ehud Brog is the birth name of Ehud Barak, a former Prime Minister and Defense Minister of Israel and one of the country’s most decorated military officers.
-
D.
Amir Yaron
Amir Yaron is an Israeli-American economist who serves as the Governor of the Bank of Israel, overseeing the country’s monetary policy and financial stability.
-
E.
Uri Tadmor
Uri Tadmor is a linguist known for his research on Austronesian languages, particularly the Lamaholot language of eastern Indonesia.
- 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: Tal Ben-Nun Triple: [PEP 636, author, Tal Ben-Nun]
Generated description
Tal Ben-Nun is a computer scientist and software engineer known for his contributions to Python, including co-authoring PEP 636 on structural pattern matching.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tal Ben-Nun Target entity description: Tal Ben-Nun is a computer scientist and software engineer known for his contributions to Python, including co-authoring PEP 636 on structural pattern matching.
-
A.
Haim Oron
Haim Oron is an Israeli politician and peace activist who led the left-wing Meretz party and served for many years as a member of the Knesset.
-
B.
Moshe Aviv
Moshe Aviv was an Israeli businessman and real estate developer best known for his major role in shaping modern Israeli urban skylines.
-
C.
Ehud Brog
Ehud Brog is the birth name of Ehud Barak, a former Prime Minister and Defense Minister of Israel and one of the country’s most decorated military officers.
-
D.
Amir Yaron
Amir Yaron is an Israeli-American economist who serves as the Governor of the Bank of Israel, overseeing the country’s monetary policy and financial stability.
-
E.
Uri Tadmor
Uri Tadmor is a linguist known for his research on Austronesian languages, particularly the Lamaholot language of eastern Indonesia.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e34455ea4c8190b6f2433f3f745b76 |
completed | April 18, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69e3556ad7ec819095b3babc67ecdfd4 |
completed | April 18, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e358f860f08190bfd10519ff3806aa |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:22 p.m.