Triple
T7962038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CyHi |
E184888
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Pusha T |
E360454
|
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: Pusha T | Statement: [CyHi, collaboratedWith, Pusha T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pusha T Context triple: [CyHi, collaboratedWith, Pusha T]
-
A.
Pusha-T
chosen
Pusha-T is an American rapper, songwriter, and record executive known for his gritty lyricism, work as half of the duo Clipse, and leadership role at Kanye West’s GOOD Music label.
-
B.
Pushya
Pushya is a prominent Vedic lunar mansion (nakshatra) revered in Hindu astrology and ritual practice for its auspicious and nurturing qualities.
-
C.
Pushan
Pushan is a Vedic solar deity associated with protection, guidance, and safe journeys, particularly for travelers and herds.
-
D.
Nanapush
Nanapush is a wise, humorous Ojibwe elder and central storyteller in Louise Erdrich’s novels, particularly known for preserving tribal history and culture through his narratives.
-
E.
Pusher III
Pusher III is a 2005 Danish crime film directed by Nicolas Winding Refn, serving as the final installment in his gritty Copenhagen-set Pusher trilogy.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9df72081908d33925da10192e9 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe084d9348190b4102fbdfedca297 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.