Triple
T18413510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan |
E441826
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Natan |
—
|
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: Natan | Statement: [Nathan, hasRelatedName, Natan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natan Context triple: [Nathan, hasRelatedName, Natan]
-
A.
Natan
chosen
Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
-
B.
Yonatan
Yonatan is a Hebrew given name, commonly associated with the biblical figure Jonathan and meaning "God has given."
-
C.
Naftali
Naftali is a Hebrew given name historically borne by notable Jewish figures, including poets and religious leaders.
-
D.
Eitan
Eitan is a Hebrew given name meaning "strong," "firm," or "enduring," commonly used in Israel and Jewish communities worldwide.
-
E.
Nadav
Nadav is the adolescent protagonist of the Israeli film "Nina’s Tragedies," through whose perspective the story’s emotional and familial turmoil unfolds.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a259c1c819094e710bb4a7ace75 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.