Triple
T8801392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adewale Akinnuoye-Agbaje |
E209415
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Oz |
E101318
|
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: Oz | Statement: [Adewale Akinnuoye-Agbaje, notableWork, Oz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oz Context triple: [Adewale Akinnuoye-Agbaje, notableWork, Oz]
-
A.
Oz
Oz is a common diminutive or nickname for the given name Oswald.
-
B.
Oz
Oz is the magical land at the center of L. Frank Baum’s classic “Wizard of Oz” stories, inhabited by diverse fantastical peoples and creatures.
-
C.
Oz
Oz is a tree-lined, expert-focused peak and trail pod at Maine’s Sunday River ski resort, known for its challenging terrain and glade skiing.
-
D.
Oz
chosen
Oz is a gritty HBO drama series set in a maximum-security prison, known for its dark, realistic portrayal of inmate life and institutional violence.
-
E.
OZ
OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb9c5c88190881b069e1face10c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f6fdd688190bf40bbde0be991e1 |
completed | April 3, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:44 p.m.