Triple
T9905435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyoming Sessions |
E184997
|
entity |
| Predicate | influencedWork |
P1994
|
FINISHED |
| Object | Nasir |
E832583
|
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: Nasir | Statement: [Wyoming Sessions, influencedWork, Nasir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nasir Context triple: [Wyoming Sessions, influencedWork, Nasir]
-
A.
Nasir
chosen
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
B.
Munir
Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
-
C.
Rashid
Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
-
D.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
E.
Naser
Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb4e641e881909dfba78fcb96c433 |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2577794d081909e852bda46f62988 |
completed | April 5, 2026, 12:37 p.m. |
Created at: March 30, 2026, 8:40 p.m.