Triple

T12684281
Position Surface form Disambiguated ID Type / Status
Subject Lester William Polsfuss E303025 entity
Predicate spouse P13 FINISHED
Object Mary Ford E278642 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: Mary Ford | Statement: [Lester William Polsfuss, spouse, Mary Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Ford
Context triple: [Lester William Polsfuss, spouse, Mary Ford]
  • A. Mary Ford chosen
    Mary Ford was an American vocalist and guitarist best known for her innovative multi-tracked recordings and hit duets with her husband, guitarist and inventor Les Paul, in the 1950s.
  • B. Nonnie Parry
    Nonnie Parry is a shy, young singer and one of the key survivors in the 1972 disaster film "The Poseidon Adventure."
  • C. Joan Tabor
    Joan Tabor was an American film and television actress active in the 1950s and 1960s, known for her glamorous screen presence and roles in various popular TV series of the era.
  • D. Dolly Nolan
    Dolly Nolan is a member of the Nolan family featured in the romantic comedy film "Must Love Dogs."
  • E. Dolly Henderson
    Dolly Henderson is a fictional character connected to Sue Brown, likely appearing in the same narrative or creative work.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7a79908190b83a868090990bbe completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:21 p.m.