Triple
T11739052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahibzada Jujhar Singh |
E279104
|
entity |
| Predicate | honorificPrefix |
P536
|
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: [Sahibzada Jujhar Singh, honorificPrefix, Baba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baba Context triple: [Sahibzada Jujhar Singh, honorificPrefix, Baba]
-
A.
Baba
Baba is the wealthy, principled yet emotionally distant father of Amir in the film adaptation of "The Kite Runner."
-
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.
Jan Baba
Jan Baba is a historical figure commemorated by a tomb that bears his name, indicating his local or cultural significance.
-
D.
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.
-
E.
Baba the Turk
Baba the Turk is a bearded lady and flamboyant character in Igor Stravinsky’s opera *The Rake’s Progress*, known for her comic yet unsettling marriage to the protagonist Tom Rakewell.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4ef1c4881909ad36dc27b1fe193 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019c339cc81909967ecfa234e4ab8 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.