Triple
T19784456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abner son of Ner |
E475223
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Ner |
—
|
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: Ner | Statement: [Abner son of Ner, father, Ner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ner Context triple: [Abner son of Ner, father, Ner]
-
A.
Ner
chosen
Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
-
B.
Ner
Ner is a town located in the Yavatmal district of Maharashtra, India, known primarily as a local agricultural and trading center.
-
C.
Ner
Ner is a river in central Poland that flows through the Łódź region before joining the Warta River.
-
D.
Nir
Nir is a small city in northwestern Iran known for its location within Ardabil Province and its proximity to the region’s mountainous landscapes.
-
E.
Nin
Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538715b8819080c6930e7d16ab58 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.