Triple
T7229069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munir Sirhan |
E154856
|
entity |
| Predicate | hasFamilyMember |
P7844
|
FINISHED |
| Object | Ayda Sirhan |
E154856
|
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: Ayda Sirhan | Statement: [Munir Sirhan, hasFamilyMember, Ayda Sirhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayda Sirhan Context triple: [Munir Sirhan, hasFamilyMember, Ayda Sirhan]
-
A.
Ayda Sirhan
chosen
Ayda Sirhan is a family member of Munir Sirhan, who is known as the brother of Sirhan Sirhan, the assassin of Robert F. Kennedy.
-
B.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
-
C.
Tahia Kazem
Tahia Kazem was the wife of Egyptian president Gamal Abdel Nasser and served as Egypt’s First Lady during his tenure from 1956 to 1970.
-
D.
Aida El-Kachef
Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
-
E.
Elissa Landi
Elissa Landi was an Italian-born British actress of the 1920s and 1930s, known for her sophisticated screen presence in Hollywood historical and romantic dramas.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9e0ba248190a57a3b4fa8b858c7 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc1cdfb88190934387e44531b732 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.