Triple
T19290032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guruji |
E482415
|
entity |
| Predicate | honorificName |
P6819
|
FINISHED |
| Object | Guruji |
—
|
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: Guruji | Statement: [Guruji, honorificName, Guruji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guruji Context triple: [Guruji, honorificName, Guruji]
-
A.
Guruji
chosen
Guruji is the reverential honorific by which Madhav Sadashiv Golwalkar, the influential second Sarsanghchalak (chief) of the Rashtriya Swayamsevak Sangh (RSS) in India, is widely known.
-
B.
Guru
Guru is a spiritual teacher and guide, especially in Indian religions, who imparts wisdom and leads disciples toward enlightenment.
-
C.
Guru
Guru is a 2007 Indian Hindi-language drama film directed by Mani Ratnam, featuring music composed by A. R. Rahman.
-
D.
Guru
Guru was an influential American rapper and producer best known as the lyrical half of the pioneering hip hop duo Gang Starr and for his Jazzmatazz series blending rap with live jazz.
-
E.
Sane Guruji
Sane Guruji was a renowned Marathi writer, freedom fighter, and social reformer known for his deeply humanistic and emotionally resonant literature.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.