Triple
T18223091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aram |
E436353
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object | Aram Saroyan |
—
|
NE NERFINISHED |
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: Aram Saroyan | Statement: [Aram, isGivenNameOf, Aram Saroyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aram Saroyan Context triple: [Aram, isGivenNameOf, Aram Saroyan]
-
A.
Aram Saroyan
chosen
Aram Saroyan is an American poet, novelist, and playwright known for his minimalist and experimental writing, as well as being the son of author William Saroyan.
-
B.
Cream Saroyan
Cream Saroyan is the daughter of minimalist poet and writer Aram Saroyan.
-
C.
William Saroyan
William Saroyan was an Armenian-American writer and playwright renowned for his warm, humanistic short stories and plays, including the Pulitzer Prize-winning drama "The Time of Your Life."
-
D.
Armen Keteyian
Armen Keteyian is an American sports journalist and television correspondent known for his investigative reporting and coverage of major sporting events.
-
E.
Aram Avakian
Aram Avakian was an American film editor and director known for his innovative cutting style and work on influential films of the 1960s and 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47d9b348190897d5a1e70b39ec5 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.