Triple

T8581057
Position Surface form Disambiguated ID Type / Status
Subject Roberta Seidman E203177 entity
Predicate spouseStageName P32626 FINISHED
Object John Garfield E13190 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: John Garfield | Statement: [Roberta Seidman, spouseStageName, John Garfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Garfield
Context triple: [Roberta Seidman, spouseStageName, John Garfield]
  • A. John Garfield chosen
    John Garfield was an American actor of the 1930s and 1940s known for his intense, naturalistic performances in socially conscious films.
  • B. Ray Milland
    Ray Milland was a Welsh-born American actor and director best known for his Academy Award-winning performance as an alcoholic writer in the 1945 film "The Lost Weekend."
  • C. Melvyn Douglas
    Melvyn Douglas was an acclaimed American actor known for his sophisticated screen presence and award-winning performances in both classic Hollywood films and later character roles.
  • D. Alan Ladd
    Alan Ladd was an American film actor best known for his cool, understated performances in classic movies such as the Western "Shane."
  • E. William Holden
    William Holden was an acclaimed American film actor known for his charismatic performances in classics such as "Sunset Boulevard," "Stalag 17," and "The Bridge on the River Kwai."
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1a026c819089183f542eeb7837 completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea89550f481908a7ed45303b71731 completed April 2, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:22 p.m.