Triple
T1375957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Dimitri Chalhoub |
E29222
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Tarek Sharif |
E134949
|
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: Tarek Sharif | Statement: [Michel Dimitri Chalhoub, child, Tarek Sharif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarek Sharif Context triple: [Michel Dimitri Chalhoub, child, Tarek Sharif]
-
A.
Tarek Sharif
chosen
Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
-
B.
Amer Wagdi
Amer Wagdi is a central character in Naguib Mahfouz’s novel "Miramar," representing the older generation’s memories and perspectives amid Egypt’s social and political change.
-
C.
Nabil
Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
-
D.
Saif al-Adel
Saif al-Adel is a senior Egyptian militant and former military officer widely believed to be the de facto leader of al-Qaeda and a key strategist behind several major terrorist operations.
-
E.
Said Malek
Said Malek is the father of Academy Award–winning actor Rami Malek.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2f9b51c8190ad52fd8c151499be |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08a9dd308190999d349f8b6297b8 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 7:59 p.m.