Triple
T12712906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hashomer |
E303765
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Israel Shochat |
E902351
|
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: Israel Shochat | Statement: [Hashomer, member, Israel Shochat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Israel Shochat Context triple: [Hashomer, member, Israel Shochat]
-
A.
Israel Shochat
chosen
Israel Shochat was a key early Zionist activist and founder of the Hashomer Jewish defense organization in Ottoman Palestine.
-
B.
Vered Bar-El
Vered Bar-El is a character featured in the comic book series "The Source."
-
C.
Oren Aviv
Oren Aviv is an American film executive and producer known for his work on major Hollywood projects, including contributing to the story for the action-adventure film "National Treasure."
-
D.
Moti Sasson
Moti Sasson is an Israeli politician who has served as the long-time mayor of the city of Holon, known for promoting urban development and cultural initiatives.
-
E.
Ephraim Katzir
Ephraim Katzir was an Israeli biophysicist and politician who served as the fourth President of Israel and was renowned for his pioneering work in the field of protein chemistry.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96208fa6481909d6fd43654752a2d |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb1ca1081909b2e9e70f6a497dd |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:23 p.m.