Triple
T5083370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zahi Hawass |
E114576
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Zahi
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.
|
E492690
|
NE FINISHED |
How this triple was built (4 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.
Zerah
Zerah is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Judah and Tamar.
-
B.
Tamyen
Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
-
C.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
D.
Zellig
Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
-
E.
Iset Ta-Hemdjert
Iset Ta-Hemdjert was a queen of Egypt’s 20th Dynasty, best known as one of the principal wives of Pharaoh Ramesses III and the mother of his successor Ramesses IV.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zahi Triple: [Zahi Hawass, givenName, Zahi]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zahi Target entity description: 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.
-
A.
Seif
Seif is a family name most notably associated with Riad Seif, a prominent Syrian businessman and opposition politician.
-
B.
Zerah
Zerah is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Judah and Tamar.
-
C.
Tamyen
Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
-
D.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
E.
Zellig
Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
- F. None of above. chosen
Provenance (5 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb135912c81909dd32d21b604e1b1 |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb3ea65b081908efa86e273f50da9 |
completed | March 21, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb44cd56c81909faf4c6485169315 |
completed | March 21, 2026, 3:07 p.m. |
Created at: March 20, 2026, 1:39 p.m.