Triple
T20145911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baba Gurdit Singh |
E491301
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gurdit |
—
|
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: Gurdit | Statement: [Baba Gurdit Singh, givenName, Gurdit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurdit Context triple: [Baba Gurdit Singh, givenName, Gurdit]
-
A.
Gurdit
chosen
Gurdit is the given name of Baba Gurdit Singh, a prominent Sikh activist best known for chartering the Komagata Maru in 1914 to challenge racist immigration laws in Canada.
-
B.
Gurdev
Gurdev is the given name of Gurdev Khush, a prominent Indian-American agronomist and plant breeder known for his contributions to the Green Revolution.
-
C.
Guhilot
Guhilot is a prominent Rajput clan historically associated with the rulers of Mewar in present-day Rajasthan, India.
-
D.
Sardara
Sardara is a small town and comune in the Province of South Sardinia, Italy, known for its thermal baths and archaeological sites.
-
E.
Barindar
Barindar is a personal name, likely a variant spelling of the name Barindra used in similar cultural or linguistic contexts.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.