Triple
T8367525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ama K. Abebrese |
E197169
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | Azali |
E728186
|
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: Azali | Statement: [Ama K. Abebrese, actedIn, Azali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azali Context triple: [Ama K. Abebrese, actedIn, Azali]
-
A.
Azali
chosen
Azali is a critically acclaimed Ghanaian drama film that explores themes of human trafficking, survival, and resilience through the journey of a young girl from a rural village to the city.
-
B.
Alijó
Alijó is a municipality in northern Portugal known for its wine production and location within the Douro Valley wine region.
-
C.
Azizi
Azizi is a personal name, typically used as a given name or surname in various cultures, derived from the name Aziz.
-
D.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
E.
Zal
Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808e56fc81908b5d37482f29452d |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7c747b48190b1979b4eaf281df5 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 6 p.m.