Triple

T7134765
Position Surface form Disambiguated ID Type / Status
Subject Henry Way Kendall E166277 entity
Predicate familyName P18 FINISHED
Object Kendall E230734 NE FINISHED

How this triple was built (2 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: Kendall | Statement: [Henry Way Kendall, familyName, Kendall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kendall
Context triple: [Henry Way Kendall, familyName, Kendall]
  • A. Kendall chosen
    Kendall is a unisex given name of English origin commonly used in the United States and other English-speaking countries.
  • B. Kendall
    Kendall is a neighborhood in Cambridge, Massachusetts, known for its proximity to MIT and its concentration of technology companies and research institutions.
  • C. Kendall Taylor
    Kendall Taylor is an American businessman best known as the husband of singer and "American Idol" winner Fantasia Barrino.
  • D. Kendall Nesbitt
    Kendall Nesbitt is a fictional character from the musical "Lady in the Dark," typically portrayed as a sophisticated romantic interest entangled in the protagonist's emotional and psychological journey.
  • E. Kendall Vanhook Bumpass
    Kendall Vanhook Bumpass was a 19th-century cowboy and guide whose accidental injury in Lassen Peak’s geothermal area led to the site being named Bumpass Hell in his memory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e690f954819084b81a555f4cdb5e completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a344fb4881908f6b6e33706e0192 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.