Triple
T6834479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noga Alon |
E157415
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Alon
Alon is a Hebrew surname borne by several notable individuals, including mathematician and computer scientist Noga Alon.
|
E623994
|
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: Alon | Statement: [Noga Alon, familyName, Alon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alon Context triple: [Noga Alon, familyName, Alon]
-
A.
Noga
Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
-
B.
Avishai
Avishai is a Hebrew given name, often used in Jewish communities, that can be shortened to Avi.
-
C.
Natan
Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
-
D.
Harel Weinstein
Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
-
E.
Yakir
Yakir is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities.
- 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: Alon Triple: [Noga Alon, familyName, Alon]
Generated description
Alon is a Hebrew surname borne by several notable individuals, including mathematician and computer scientist Noga Alon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alon Target entity description: Alon is a Hebrew surname borne by several notable individuals, including mathematician and computer scientist Noga Alon.
-
A.
Noga
Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
-
B.
Avishai
Avishai is a Hebrew given name, often used in Jewish communities, that can be shortened to Avi.
-
C.
Natan
Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
-
D.
Harel Weinstein
Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
-
E.
Yakir
Yakir is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67936288190829fedc3729aadd8 |
completed | March 27, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fab60708190825876e5715c0cc4 |
completed | March 28, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c7374ba15081909353f52e432a96e0 |
completed | March 28, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c737b1481c8190a0b590c841ea079f |
completed | March 28, 2026, 2:06 a.m. |
Created at: March 27, 2026, 2:18 p.m.