Triple

T4273486
Position Surface form Disambiguated ID Type / Status
Subject Robin Thicke E96990 entity
Predicate mother P120 FINISHED
Object Gloria Loring E270756 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: Gloria Loring | Statement: [Robin Thicke, mother, Gloria Loring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Loring
Context triple: [Robin Thicke, mother, Gloria Loring]
  • A. Gloria Loring chosen
    Gloria Loring is an American singer and actress best known for her work in television and music, including performing the theme song for the sitcom "The Facts of Life."
  • B. Gloria DeLouise
    Gloria DeLouise was the wife of American actor Burt Young, best known for his role as Paulie in the "Rocky" film series.
  • C. Lynn Garland
    Lynn Garland is the wife of U.S. Attorney General and former Supreme Court nominee Merrick Garland and is known for her work in public service and community engagement.
  • D. Anita Morris
    Anita Morris was an American actress, singer, and dancer known for her sultry screen presence and scene-stealing roles in film, television, and on Broadway.
  • E. Gloria Rudisch
    Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ffe44508190875d734eb18dfb87 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65f24783c8190a735629237069a92 completed March 15, 2026, 7:26 a.m.
Created at: March 12, 2026, 11:07 p.m.