Triple
T20116302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chormaqan |
E490471
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Baiju |
—
|
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: Baiju | Statement: [Chormaqan, successor, Baiju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baiju Context triple: [Chormaqan, successor, Baiju]
-
A.
Baiju
chosen
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
-
B.
Baiju
Baiju is an Indian-American entrepreneur best known as the co-founder of the stock trading platform Robinhood.
-
C.
Chuza
Chuza is a biblical figure mentioned in the New Testament as the husband of Joanna, a woman who supported Jesus’ ministry.
-
D.
Obi
Obi is a local government area in Nasarawa State, Nigeria, serving as an administrative subdivision of the state.
-
E.
Obi
Obi is a local government area and town in Benue State, Nigeria, traditionally associated with and inhabited by the Idoma people.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66739fde4819083e54f7435405bf0 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:29 p.m.