Triple
T22273785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Rifles |
E550548
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Bharat Bhushan |
—
|
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: Bharat Bhushan | Statement: [Five Rifles, stars, Bharat Bhushan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bharat Bhushan Context triple: [Five Rifles, stars, Bharat Bhushan]
-
A.
Bharat Bhushan
chosen
Bharat Bhushan was a prominent Indian film actor and producer best known for his leading roles in classic Hindi cinema of the 1950s and 1960s, particularly in musical and devotional films.
-
B.
Yudhajit
Yudhajit is a lesser-known prince in the Ramayana, recognized as the brother of Queen Kaikeyi and thus an uncle of Bharata.
-
C.
Rishabhdeo
Rishabhdeo is a prominent Jain pilgrimage town in Rajasthan, India, known for its ancient temple dedicated to Lord Rishabhdev.
-
D.
जयद्रथ
जयद्रथ महाभारत का एक पात्र था, जो कुरुक्षेत्र युद्ध में कौरव पक्ष का राजा और अर्जुन के पुत्र अभिमन्यु की मृत्यु के लिए कुख्यात माना जाता है।
-
E.
Anant Varman
Anant Varman is an actor who appeared in the 2022 Indian film "Living."
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.