Triple

T9769773
Position Surface form Disambiguated ID Type / Status
Subject Harriet Hilliard E237091 entity
Predicate workedWith P398 FINISHED
Object Ozzie Nelson E8991 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: Ozzie Nelson | Statement: [Harriet Hilliard, workedWith, Ozzie Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozzie Nelson
Context triple: [Harriet Hilliard, workedWith, Ozzie Nelson]
  • A. Ozzie Nelson chosen
    Ozzie Nelson was an American bandleader, actor, and television producer best known for co-creating and starring in the long-running family sitcom "The Adventures of Ozzie and Harriet."
  • B. Jim Reeves
    Jim Reeves was an American country and pop singer known for his smooth baritone voice and influential Nashville Sound recordings in the 1950s and early 1960s.
  • C. Bobby Helms
    Bobby Helms was an American country singer best known for his enduring Christmas hit "Jingle Bell Rock."
  • D. Red Foley
    Red Foley was a pioneering American country music singer, guitarist, and radio/TV star whose smooth vocal style and gospel recordings helped shape the genre in the mid-20th century.
  • E. Alan Dinehart
    Alan Dinehart was an American character actor of the early 20th century known for his supporting roles in numerous Hollywood films.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f1dea08190b89bcc192b068c66 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4154af081908ca743b43ade83c7 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:26 p.m.