Triple
T19100077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gazit-Globe |
E467508
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Chaim Katzman |
—
|
NE NERFINISHED |
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: Chaim Katzman | Statement: [Gazit-Globe, keyPerson, Chaim Katzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaim Katzman Context triple: [Gazit-Globe, keyPerson, Chaim Katzman]
-
A.
Chaim Katzman
chosen
Chaim Katzman is an Israeli real estate entrepreneur and investor best known as the founder and longtime leader of the global real estate company Gazit-Globe.
-
B.
Dovid Feinstein
Dovid Feinstein was a prominent American Orthodox rabbi and halachic authority, known for his leadership at Mesivtha Tifereth Jerusalem and his widely respected Torah scholarship.
-
C.
Zalman Ehrlich
Zalman Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
-
D.
Nahum Gelber
Nahum Gelber was a Canadian lawyer, philanthropist, and community leader known for his significant contributions to legal education and Jewish cultural and charitable institutions.
-
E.
Michael Braverman
Michael Braverman is a television producer best known for his work as an executive producer on reality and documentary-style TV series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36d279081908aeb472cd740c302 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.