Triple
T7011686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Melki |
E162596
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gilbert Melki |
E162596
|
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: Gilbert Melki | Statement: [Gilbert Melki, name, Gilbert Melki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilbert Melki Context triple: [Gilbert Melki, name, Gilbert Melki]
-
A.
Gilbert Melki
chosen
Gilbert Melki is a French actor known for his versatile performances in film and television, including prominent roles in French dramas and comedies.
-
B.
Antoine Nahas
Antoine Nahas was a Lebanese architect best known for designing the National Museum of Beirut, a landmark institution of Lebanon’s cultural heritage.
-
C.
Henry Barakat
Henry Barakat was a prominent Egyptian film director and one of the leading figures of classical Egyptian cinema.
-
D.
Arthur Sadoun
Arthur Sadoun is a French advertising executive and the chief executive of Publicis Groupe, one of the world’s largest communications and marketing services companies.
-
E.
Joseph Bishara
Joseph Bishara is an American composer and actor best known for creating the unsettling musical scores and portraying demonic entities in modern horror films such as those in The Conjuring and Insidious franchises.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc5729448190af66dbd6f3e8936e |
completed | March 27, 2026, 7:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a4bd424819097e1543ec59979ff |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:34 p.m.