Triple
T15268661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assaf Ramon |
E364963
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Tal Ramon |
E1144895
|
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: Tal Ramon | Statement: [Assaf Ramon, sibling, Tal Ramon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tal Ramon Context triple: [Assaf Ramon, sibling, Tal Ramon]
-
A.
Tal Ramon
chosen
Tal Ramon is an Israeli musician and the son of the late astronaut Ilan Ramon and Rona Ramon.
-
B.
Yair Tzaban
Yair Tzaban is an Israeli politician and social activist known for his leadership in the left-wing Mapam party and his advocacy for peace, civil rights, and social justice.
-
C.
Yaron Varsano
Yaron Varsano is an Israeli real estate developer and film producer best known as the husband and business partner of actress Gal Gadot.
-
D.
Yishay Mansour
Yishay Mansour is an Israeli computer scientist known for his contributions to algorithms, machine learning, and game theory, and for serving as a prominent professor at Tel Aviv University.
-
E.
Amir Ronen
Amir Ronen is a computer scientist known for his work in algorithmic game theory and mechanism design, often in collaboration with Amos Fiat and other leading researchers in theoretical computer science.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6fc290819096ef03f8ecae8876 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.