Triple
T22527033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أفواه وأرانب |
E556933
|
entity |
| Predicate | مخرج |
P255
|
FINISHED |
| Object | هنري بركات |
—
|
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: هنري بركات | Statement: [أفواه وأرانب, مخرج, هنري بركات]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: هنري بركات Context triple: [أفواه وأرانب, مخرج, هنري بركات]
-
A.
هنري بركات
chosen
هنري بركات هو مخرج سينمائي مصري بارز يُعد من رواد صناعة الفيلم العربي وقدم العديد من الأعمال الكلاسيكية في تاريخ السينما المصرية.
-
B.
Harold Briggs
Harold Briggs was a British Army officer best known for devising and implementing the Briggs Plan to combat communist insurgency during the Malayan Emergency.
-
C.
Thomas Bridges
Thomas Bridges was a 19th-century Anglican missionary and linguist known for compiling the first extensive dictionary and grammar of the Yaghan language of Tierra del Fuego.
-
D.
Walter Hendricks
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
-
E.
Walter Briggs
Walter Briggs is a fictional character appearing in John Updike’s short story collection "Pigeon Feathers and Other Stories."
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.