Triple
T20179609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zahi Hawass |
E492690
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zahi |
—
|
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: Zahi | Statement: [Zahi Hawass, givenName, Zahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zahi Context triple: [Zahi Hawass, givenName, Zahi]
-
A.
Zahi
chosen
Zahi is the given name of Zahi Hawass, a prominent Egyptian archaeologist and former Minister of Antiquities known for his work on ancient Egyptian sites and artifacts.
-
B.
Seif
Seif is a family name most notably associated with Riad Seif, a prominent Syrian businessman and opposition politician.
-
C.
Azali
Azali is a critically acclaimed Ghanaian drama film that explores themes of human trafficking, survival, and resilience through the journey of a young girl from a rural village to the city.
-
D.
Orabi
Orabi is a central Cairo Metro station on Line 1, located in downtown Cairo near major commercial and administrative areas.
-
E.
Zerah
Zerah is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Judah and Tamar.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668edf27881909820f9103e72533e |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.