Triple

T16168645
Position Surface form Disambiguated ID Type / Status
Subject Grant Aleksander E392374 entity
Predicate name P16 FINISHED
Object Grant Aleksander E392374 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: Grant Aleksander | Statement: [Grant Aleksander, name, Grant Aleksander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant Aleksander
Context triple: [Grant Aleksander, name, Grant Aleksander]
  • A. Grant Aleksander chosen
    Grant Aleksander is an American actor best known for his long-running role as Phillip Spaulding on the soap opera "Guiding Light."
  • 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. Dave Alexander
    Dave Alexander was an American bassist best known for his work with the influential proto-punk band The Stooges in the late 1960s and early 1970s.
  • D. Will Alexander
    Will Alexander is one of the children of American politician and former U.S. Senator Lamar Alexander.
  • E. 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.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb5e6d881908749683091afa90c completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.