Triple
T18374390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadab |
E446272
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Nadav |
—
|
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: Nadav | Statement: [Nadab, alsoKnownAs, Nadav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadav Context triple: [Nadab, alsoKnownAs, Nadav]
-
A.
Nadav
chosen
Nadav is the adolescent protagonist of the Israeli film "Nina’s Tragedies," through whose perspective the story’s emotional and familial turmoil unfolds.
-
B.
Ze'ev
Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
-
C.
Yair
Yair is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities worldwide.
-
D.
Naftali
Naftali is a Hebrew given name historically borne by notable Jewish figures, including poets and religious leaders.
-
E.
Yigal
Yigal is a Hebrew given name commonly used for males, notably borne by several Israeli public figures.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51757a75c8190814db973ae1a86cd |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:45 a.m.