Triple
T19058685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdulrahman Mohamed Babu |
E466465
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Babu |
—
|
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: Babu | Statement: [Abdulrahman Mohamed Babu, familyName, Babu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babu Context triple: [Abdulrahman Mohamed Babu, familyName, Babu]
-
A.
Babu
chosen
Babu was a hereditary aristocratic title used by the ruling family of the Jagdishpur estate in India.
-
B.
Alik Babu
Alik Babu is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
-
C.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
D.
Raja Babu
Raja Babu is a popular 1994 Hindi comedy film starring Govinda and Karisma Kapoor, known for its slapstick humor, catchy songs, and portrayal of a boisterous village simpleton.
-
E.
Gopal
Gopal is the given name of Gopal Krishna Gokhale, a prominent Indian political leader and social reformer of the early 20th century.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc08572c8190af2f8bcfe9d1616c |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.