Triple
T11467696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munich (2005 film) |
E271818
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ayelet Zurer |
E89512
|
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: Ayelet Zurer | Statement: [Munich (2005 film), castMember, Ayelet Zurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayelet Zurer Context triple: [Munich (2005 film), castMember, Ayelet Zurer]
-
A.
Ayelet Zurer
chosen
Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
-
B.
Yona Wallach
Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
-
C.
Daphna Kastner
Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
-
D.
Nina Katzir
Nina Katzir was the wife of Israeli President Ephraim Katzir and served as Israel’s First Lady in the 1970s, known for her public and social activities.
-
E.
Liraz Charhi
Liraz Charhi is an Israeli actress, singer, and dancer known for her roles in film and television, including the espionage thriller series "Tehran."
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12c1cd048190b58410542005acbc |
completed | April 27, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:35 p.m.