Triple

T8864278
Position Surface form Disambiguated ID Type / Status
Subject Bill Murray E210973 entity
Predicate hasChild P369 FINISHED
Object Lincoln Murray E210973 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: Lincoln Murray | Statement: [Bill Murray, hasChild, Lincoln Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln Murray
Context triple: [Bill Murray, hasChild, Lincoln Murray]
  • A. Lincoln Murray chosen
    Lincoln Murray is one of actor and comedian Bill Murray’s sons, known primarily for his connection to the famous entertainer.
  • B. Luther Albright
    Luther Albright is the fictional protagonist of MacKenzie Scott’s novel "The Testing of Luther Albright," portrayed as a meticulous engineer and devoted family man whose ordered life unravels under emotional and personal strain.
  • C. Stanley Reed
    Stanley Reed was an Associate Justice of the U.S. Supreme Court known for his generally conservative jurisprudence and frequent defense of governmental authority during the mid-20th century.
  • D. James E. Cheek
    James E. Cheek was an American educator and theologian best known for serving as president of Howard University from 1969 to 1989.
  • E. Millard Mitchell
    Millard Mitchell was an American character actor known for his supporting roles in classic Hollywood films of the 1940s and 1950s.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610569d08190b108107dfe397f18 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0caccd88190b6464f53d0239e47 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.