Triple
T19956340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel at the Olympics |
E479692
|
entity |
| Predicate | notableOlympicMedalist |
P10392
|
FINISHED |
| Object |
Yarden Gerbi
Yarden Gerbi is an Israeli judoka and world champion who became one of Israel’s most celebrated athletes after winning an Olympic bronze medal in judo.
|
E1403621
|
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: Yarden Gerbi | Statement: [Israel at the Olympics, notableOlympicMedalist, Yarden Gerbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yarden Gerbi Context triple: [Israel at the Olympics, notableOlympicMedalist, Yarden Gerbi]
-
A.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
-
B.
Nili Priel
Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
-
C.
Yona Efrat
Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
-
D.
Iona Yakir
Iona Yakir was a prominent Soviet Red Army commander and military strategist during the Russian Civil War and early Soviet period, later executed during Stalin's Great Purge.
-
E.
Ori Marmur
Ori Marmur is a film producer known for his work on the science fiction thriller "Passengers."
- 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: Yarden Gerbi Triple: [Israel at the Olympics, notableOlympicMedalist, Yarden Gerbi]
Generated description
Yarden Gerbi is an Israeli judoka and world champion who became one of Israel’s most celebrated athletes after winning an Olympic bronze medal in judo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yarden Gerbi Target entity description: Yarden Gerbi is an Israeli judoka and world champion who became one of Israel’s most celebrated athletes after winning an Olympic bronze medal in judo.
-
A.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
-
B.
Nili Priel
Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
-
C.
Yona Efrat
Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
-
D.
Iona Yakir
Iona Yakir was a prominent Soviet Red Army commander and military strategist during the Russian Civil War and early Soviet period, later executed during Stalin's Great Purge.
-
E.
Ori Marmur
Ori Marmur is a film producer known for his work on the science fiction thriller "Passengers."
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af08e008190a3a1b807b638a99e |
completed | April 20, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdc86cf88190bee6c6cc14a2caae |
completed | May 16, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_6a07fea23a988190832115346f8889ca |
completed | May 16, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff4a59608190a17f30f60c879efc |
completed | May 16, 2026, 5:23 a.m. |
Created at: April 10, 2026, 1:54 p.m.