Triple
T11345733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gideon Raff |
E268706
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hatufim |
E920020
|
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: Hatufim | Statement: [Gideon Raff, notableWork, Hatufim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatufim Context triple: [Gideon Raff, notableWork, Hatufim]
-
A.
Hatufim
chosen
Hatufim is an Israeli television drama series that follows the emotional and psychological struggles of soldiers returning home after years of captivity.
-
B.
Hatzerim
Hatzerim is a kibbutz in Israel’s Negev desert, known for its nearby Israeli Air Force base and the Israel Air Force Museum.
-
C.
Har HaTzofim
Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
-
D.
Ganei Tikva
Ganei Tikva is a small suburban town in central Israel known for its residential character and proximity to Tel Aviv.
-
E.
Tohorot
Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55649a9188190911608fef5894bd8 |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.