Triple
T13687063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaytoun |
E328158
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Ilan Eshkeri |
E126637
|
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: Ilan Eshkeri | Statement: [Zaytoun, musicBy, Ilan Eshkeri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilan Eshkeri Context triple: [Zaytoun, musicBy, Ilan Eshkeri]
-
A.
Ilan Eshkeri
chosen
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
-
B.
Amiel Ben-Horin
Amiel Ben-Horin is a central character in the Israeli television drama "Prisoners of War" (Hatufim), which inspired the American series "Homeland."
-
C.
Yair Tzaban
Yair Tzaban is an Israeli politician and social activist known for his leadership in the left-wing Mapam party and his advocacy for peace, civil rights, and social justice.
-
D.
Osnat Shurer
Osnat Shurer is an Israeli-American film producer best known for her work on major Walt Disney Animation Studios features such as "Moana" and "Raya and the Last Dragon."
-
E.
Yishay Mansour
Yishay Mansour is an Israeli computer scientist known for his contributions to algorithms, machine learning, and game theory, and for serving as a prominent professor at Tel Aviv University.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b063661481908da569084c20f37c |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.