Triple

T10034690
Position Surface form Disambiguated ID Type / Status
Subject Dr. Shekt E204935 entity
Predicate familyName P18 FINISHED
Object Shekt
Shekt is the surname of Dr. Shekt, a fictional scientist character appearing in Isaac Asimov’s novel "The End of Eternity."
 E836802 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: Shekt | Statement: [Dr. Shekt, familyName, Shekt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shekt
Context triple: [Dr. Shekt, familyName, Shekt]
  • A. Shekhan
    Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
  • B. Shihet
    Shihet is the ancient name of the Wadi El Natrun region in Egypt, historically known for its natron deposits and early Christian monastic settlements.
  • C. Shabran
    Shabran is a town in northeastern Azerbaijan that serves as an administrative and economic center for the surrounding region.
  • D. Khekra
    Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
  • E. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • 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: Shekt
Triple: [Dr. Shekt, familyName, Shekt]
Generated description
Shekt is the surname of Dr. Shekt, a fictional scientist character appearing in Isaac Asimov’s novel "The End of Eternity."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shekt
Target entity description: Shekt is the surname of Dr. Shekt, a fictional scientist character appearing in Isaac Asimov’s novel "The End of Eternity."
  • A. Shekhan
    Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
  • B. Shihet
    Shihet is the ancient name of the Wadi El Natrun region in Egypt, historically known for its natron deposits and early Christian monastic settlements.
  • C. Shabran
    Shabran is a town in northeastern Azerbaijan that serves as an administrative and economic center for the surrounding region.
  • D. Khekra
    Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
  • E. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4a515c8190baec86d924623b12 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28250be608190b7e2b809672cdd78 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d2834f6d488190812f91a5b4971c1e completed April 5, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69d28432d900819091ff0d324a6bb28a completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:54 p.m.