Triple

T14481349
Position Surface form Disambiguated ID Type / Status
Subject KV7 E359107 entity
Predicate hasNotableExplorer P6032 FINISHED
Object Christian Leblanc
Christian Leblanc is a French Egyptologist known for his extensive research and publications on ancient Egyptian civilization and archaeological sites.
E1111174 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: Christian Leblanc | Statement: [KV7, hasNotableExplorer, Christian Leblanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Leblanc
Context triple: [KV7, hasNotableExplorer, Christian Leblanc]
  • A. Christian LeBlanc
    Christian LeBlanc is an American actor best known for his long-running role as Michael Baldwin on the soap opera "The Young and the Restless."
  • B. Antoine Santerre
    Antoine Santerre was a prominent French revolutionary and brewer who became a leading figure in the Parisian sans-culotte movement during the French Revolution.
  • C. Christian Girard
    Christian Girard was a mountaineer known for participating in the first ascent of the Swiss Alpine peak Lauteraarhorn.
  • D. Marc Thibault
    Marc Thibault is a notable individual recognized as a prominent bearer of the surname Thibault.
  • E. Daniel Lacroix
    Daniel Lacroix is a Canadian former professional ice hockey player and coach who has held coaching roles in both major junior and the NHL.
  • 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: Christian Leblanc
Triple: [KV7, hasNotableExplorer, Christian Leblanc]
Generated description
Christian Leblanc is a French Egyptologist known for his extensive research and publications on ancient Egyptian civilization and archaeological sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christian Leblanc
Target entity description: Christian Leblanc is a French Egyptologist known for his extensive research and publications on ancient Egyptian civilization and archaeological sites.
  • A. Christian LeBlanc
    Christian LeBlanc is an American actor best known for his long-running role as Michael Baldwin on the soap opera "The Young and the Restless."
  • B. Antoine Santerre
    Antoine Santerre was a prominent French revolutionary and brewer who became a leading figure in the Parisian sans-culotte movement during the French Revolution.
  • C. Christian Girard
    Christian Girard was a mountaineer known for participating in the first ascent of the Swiss Alpine peak Lauteraarhorn.
  • D. Marc Thibault
    Marc Thibault is a notable individual recognized as a prominent bearer of the surname Thibault.
  • E. Daniel Lacroix
    Daniel Lacroix is a Canadian former professional ice hockey player and coach who has held coaching roles in both major junior and the NHL.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924bc548819087a2f693840d7426 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90c365481908a8a060cb1908775 completed May 8, 2026, 9:12 a.m.
NEDg Description generation batch_69fdb2c3d85481909021d924a2d660bb completed May 8, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69fdb3f34578819099e67be907eb1b7d completed May 8, 2026, 9:59 a.m.
Created at: April 10, 2026, 1:20 a.m.