Triple

T15996590
Position Surface form Disambiguated ID Type / Status
Subject Rande Gerber E387982 entity
Predicate givenName P17 FINISHED
Object Rande
Rande is a masculine given name most notably borne by American businessman and former model Rande Gerber.
E1188346 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: Rande | Statement: [Rande Gerber, givenName, Rande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rande
Context triple: [Rande Gerber, givenName, Rande]
  • A. Rander
    Rander is a historic suburb of Surat in the Indian state of Gujarat, known for its old trading community and cultural heritage.
  • B. Leeland
    Leeland is a contemporary Christian worship band known for its melodic rock sound and spiritually themed lyrics.
  • C. Rindal
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • D. Terling
    Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
  • E. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • 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: Rande
Triple: [Rande Gerber, givenName, Rande]
Generated description
Rande is a masculine given name most notably borne by American businessman and former model Rande Gerber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rande
Target entity description: Rande is a masculine given name most notably borne by American businessman and former model Rande Gerber.
  • A. Rander
    Rander is a historic suburb of Surat in the Indian state of Gujarat, known for its old trading community and cultural heritage.
  • B. Leeland
    Leeland is a contemporary Christian worship band known for its melodic rock sound and spiritually themed lyrics.
  • C. Rindal
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • D. Terling
    Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
  • E. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157882ef0819081143e530bd6413c completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc50688ac8190b0911ce889254af3 completed May 9, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5902904819097a2c5efbde55882 completed May 9, 2026, 11:38 p.m.
Created at: April 10, 2026, 4:55 a.m.