Triple
T12426124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menahem Golan |
E296901
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object | Yoram Globus |
E296900
|
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: Yoram Globus | Statement: [Menahem Golan, businessPartner, Yoram Globus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoram Globus Context triple: [Menahem Golan, businessPartner, Yoram Globus]
-
A.
Yoram Globus
chosen
Yoram Globus is an Israeli film producer best known for his leadership of Cannon Films in the 1980s, during which he oversaw numerous action and genre movies.
-
B.
Igal Naor
Igal Naor is an Israeli actor best known internationally for his portrayals of Middle Eastern political and military figures in film and television.
-
C.
Jeff Levine
Jeff Levine is a film producer best known for his work on the horror drama "Shadow of the Vampire."
-
D.
Gabe Kaplan
Gabe Kaplan is an American comedian, actor, and professional poker player best known for starring as Gabe Kotter on the 1970s sitcom "Welcome Back, Kotter."
-
E.
Larry Hillblom
Larry Hillblom was an American businessman and entrepreneur best known as a co-founder of the global logistics and courier company DHL.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ccda08190be2ff1739c1c6855 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f0265fc81909a6288d11b78c2f9 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.