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.