Triple
T12208816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exodus 18 |
E290902
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Gershom |
E384004
|
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: Gershom | Statement: [Exodus 18, mainCharacter, Gershom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gershom Context triple: [Exodus 18, mainCharacter, Gershom]
-
A.
Gershom
chosen
Gershom is the firstborn son of Moses and Zipporah mentioned in the Hebrew Bible.
-
B.
Benzion
Benzion is a Hebrew masculine given name meaning "son of Zion," traditionally used in Jewish communities.
-
C.
Chaim
Chaim is a given name notably borne by Chaim Weizmann, the first President of the State of Israel and a prominent Zionist leader and chemist.
-
D.
Meir Henoch
Meir Henoch is the given name of Meir Henoch Wallach-Finkelstein, a historical figure identifiable primarily through this full personal name.
-
E.
Gershon
Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9d2f0c81908352cd9f0167c6ab |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.