Triple
T20054899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chileab |
E499301
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Solomon |
—
|
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: Solomon | Statement: [Chileab, sibling, Solomon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solomon Context triple: [Chileab, sibling, Solomon]
-
A.
Solomon
Solomon is a character in Min Jin Lee's novel "Pachinko," depicted as a third-generation Korean-Japanese man navigating questions of identity, family legacy, and discrimination in postwar Japan.
-
B.
Solomon
Solomon is the given first name of the American conceptual artist and minimalist pioneer Sol LeWitt.
-
C.
Solomon
Solomon is a small city in Kansas, United States, known for its rural character and location spanning Dickinson and Saline counties.
-
D.
Solomon
Solomon is a common Hebrew-origin surname borne by numerous individuals across diverse cultures and professions.
-
E.
Solomon
chosen
Solomon is a biblical king of ancient Israel renowned for his wisdom, wealth, and monumental building projects, including the First Temple in Jerusalem.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66332b300819097f5dca1636e5822 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.