Triple
T7029983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bektashi order |
E163244
|
entity |
| Predicate | hasClergyTitle |
P3092
|
FINISHED |
| Object | baba |
E491302
|
NE FINISHED |
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: baba | Statement: [Bektashi order, hasClergyTitle, baba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: baba Context triple: [Bektashi order, hasClergyTitle, baba]
-
A.
BABA
BABA is the stock ticker for Alibaba Group Holding Limited, a leading Chinese multinational technology company specializing in e-commerce, cloud computing, digital media, and related services.
-
B.
Baba
chosen
Baba is an honorific title used in South Asian cultures, particularly in Sikh and Punjabi traditions, to denote respect for an elder, spiritual leader, or revered figure.
-
C.
Baba
Baba is the wealthy, principled yet emotionally distant father of Amir in the film adaptation of "The Kite Runner."
-
D.
2Baba
2Baba is a pioneering Nigerian singer, songwriter, and record producer widely regarded as one of Africa’s most influential Afrobeats and contemporary music artists.
-
E.
Ba
Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e20dbc8c8190a7446290747d8078 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775919734819083beb10b4c2b146e |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:35 p.m.