Triple

T9599484
Position Surface form Disambiguated ID Type / Status
Subject Ruby Falls E231812 entity
Predicate discoveredBy P412 FINISHED
Object Leo Lambert
Leo Lambert was an American cave explorer best known for uncovering and developing the underground waterfall attraction Ruby Falls in Tennessee.
E808740 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: Leo Lambert | Statement: [Ruby Falls, discoveredBy, Leo Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Lambert
Context triple: [Ruby Falls, discoveredBy, Leo Lambert]
  • A. Louis Lambert
    Louis Lambert is a philosophical novel by Honoré de Balzac, included in his larger La Comédie humaine cycle, that explores the life and mystical speculations of a gifted but tormented thinker.
  • B. Carl Segaud
    Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
  • C. Stephen Hamel
    Stephen Hamel is a film producer known for his work on science fiction and genre films, including the space-set romance thriller "Passengers."
  • D. Louis Debney
    Louis Debney is the father of American film composer John Debney.
  • E. Robert Dalban
    Robert Dalban was a French character actor known for his prolific work in mid-20th-century French cinema, often appearing in supporting and comedic roles.
  • 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: Leo Lambert
Triple: [Ruby Falls, discoveredBy, Leo Lambert]
Generated description
Leo Lambert was an American cave explorer best known for uncovering and developing the underground waterfall attraction Ruby Falls in Tennessee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leo Lambert
Target entity description: Leo Lambert was an American cave explorer best known for uncovering and developing the underground waterfall attraction Ruby Falls in Tennessee.
  • A. Louis Lambert
    Louis Lambert is a philosophical novel by Honoré de Balzac, included in his larger La Comédie humaine cycle, that explores the life and mystical speculations of a gifted but tormented thinker.
  • B. Carl Segaud
    Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
  • C. Stephen Hamel
    Stephen Hamel is a film producer known for his work on science fiction and genre films, including the space-set romance thriller "Passengers."
  • D. Louis Debney
    Louis Debney is the father of American film composer John Debney.
  • E. Robert Dalban
    Robert Dalban was a French character actor known for his prolific work in mid-20th-century French cinema, often appearing in supporting and comedic roles.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a3819608190b3c280f5e1845f85 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161a4a7ac81909060a929e5489512 completed April 4, 2026, 7:08 p.m.
NEDg Description generation batch_69d16387182c8190bd2115dbffb31d5c completed April 4, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69d163e654388190ba9b617e6fac18ad completed April 4, 2026, 7:17 p.m.
Created at: March 30, 2026, 8:07 p.m.