Triple

T10183590
Position Surface form Disambiguated ID Type / Status
Subject Lamar Alexander E236850 entity
Predicate child P120 FINISHED
Object Will Alexander E236850 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: Will Alexander | Statement: [Lamar Alexander, child, Will Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Alexander
Context triple: [Lamar Alexander, child, Will Alexander]
  • A. Will Alexander chosen
    Will Alexander is one of the children of American politician and former U.S. Senator Lamar Alexander.
  • B. Ross Alexander
    Ross Alexander was an American stage and film actor of the 1930s known for his charming screen presence in Hollywood productions before his career was cut short by his early death.
  • C. David Alexander
    David Alexander is a graphic artist best known for designing the cover art of the rock album "7800° Fahrenheit" by Bon Jovi.
  • D. David Alexander
    David Alexander is a character in James Baldwin's play "The Amen Corner," which explores faith, family conflict, and the Black church in mid-20th-century Harlem.
  • E. David Alexander
    David Alexander is a former American football offensive lineman who played in the NFL, primarily for the Philadelphia Eagles, after a standout college career at the University of Tulsa.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded3408b88190a7d981a6dcea48d9 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3179b9de88190ba3beb7d6dbf7ad3 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:12 p.m.