Triple

T6550942
Position Surface form Disambiguated ID Type / Status
Subject Colbert E151125 entity
Predicate hasNotableBearer P458 FINISHED
Object Eddy Colbert
Eddy Colbert is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Colbert.
E640315 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: Eddy Colbert | Statement: [Colbert, hasNotableBearer, Eddy Colbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eddy Colbert
Context triple: [Colbert, hasNotableBearer, Eddy Colbert]
  • A. Franck Leroy
    Franck Leroy is a French politician known for serving as the mayor of Épernay, a commune in the Marne department of northeastern France.
  • B. Jules Bourard
    Jules Bourard was a French architect best known for designing the iconic Notre-Dame Cathedral Basilica in Saigon (Ho Chi Minh City), Vietnam.
  • C. Pierre Galante
    Pierre Galante was a French journalist and writer best known for his long career at Paris Match and his marriage to actress Olivia de Havilland.
  • D. Allen Daviau
    Allen Daviau was an acclaimed American cinematographer best known for his visually rich collaborations with director Steven Spielberg on films such as E.T. the Extra-Terrestrial.
  • E. Charles LeMaire
    Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
  • 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: Eddy Colbert
Triple: [Colbert, hasNotableBearer, Eddy Colbert]
Generated description
Eddy Colbert is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Colbert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eddy Colbert
Target entity description: Eddy Colbert is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Colbert.
  • A. Franck Leroy
    Franck Leroy is a French politician known for serving as the mayor of Épernay, a commune in the Marne department of northeastern France.
  • B. Jules Bourard
    Jules Bourard was a French architect best known for designing the iconic Notre-Dame Cathedral Basilica in Saigon (Ho Chi Minh City), Vietnam.
  • C. Pierre Galante
    Pierre Galante was a French journalist and writer best known for his long career at Paris Match and his marriage to actress Olivia de Havilland.
  • D. Allen Daviau
    Allen Daviau was an acclaimed American cinematographer best known for his visually rich collaborations with director Steven Spielberg on films such as E.T. the Extra-Terrestrial.
  • E. Charles LeMaire
    Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae05cd988190a013226b14cd98f0 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7941f24b881908aeb02b2cae78e12 completed March 28, 2026, 8:41 a.m.
NEDg Description generation batch_69c795143ad481909d0395ca41502e42 completed March 28, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69c795fce734819086e20a916aa67f54 completed March 28, 2026, 8:49 a.m.
Created at: March 27, 2026, 1:51 p.m.