Triple
T6144783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Barakat |
E137048
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | هنري بركات |
E556937
|
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: هنري بركات | Statement: [Henry Barakat, nativeName, هنري بركات]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: هنري بركات Context triple: [Henry Barakat, nativeName, 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.
Walter Hendricks
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
-
D.
William Heise
William Heise was an early American cinematographer and camera operator who worked on some of the first motion pictures produced in the late 19th century.
-
E.
George Bruns
George Bruns was an American composer and arranger best known for his work on numerous Disney films and theme park attractions, including iconic scores for animated classics and rides.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb645508190aea2d77c9de174ba |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135fe8ae48190bfb20c335c7d32be |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:16 p.m.