Triple
T3294958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ Premier |
E69192
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Guru |
E344135
|
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: Guru | Statement: [DJ Premier, collaboratedWith, Guru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guru Context triple: [DJ Premier, collaboratedWith, Guru]
-
A.
Guru
chosen
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.
-
B.
Guru
Guru is a 2007 Indian Hindi-language drama film directed by Mani Ratnam, featuring music composed by A. R. Rahman.
-
C.
Sane Guruji
Sane Guruji was a renowned Marathi writer, freedom fighter, and social reformer known for his deeply humanistic and emotionally resonant literature.
-
D.
Sri Guru
Sri Guru is a revered honorific title used for Guru Gobind Singh, the tenth Sikh Guru and a central figure in Sikh history and theology.
-
E.
Swami
Swami is a Hindu honorific title denoting a religious teacher or monk who has taken vows of renunciation and spiritual discipline.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07661748190bf57469e101c5283 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d35c448190a4ca50ae31639e65 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.