Triple

T4390629
Position Surface form Disambiguated ID Type / Status
Subject Tom Junod E99351 entity
Predicate inspired P9 FINISHED
Object Lloyd Vogel E104417 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: Lloyd Vogel | Statement: [Tom Junod, inspired, Lloyd Vogel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lloyd Vogel
Context triple: [Tom Junod, inspired, Lloyd Vogel]
  • A. Lloyd Vogel chosen
    Lloyd Vogel is the fictional, emotionally troubled journalist protagonist of the film "A Beautiful Day in the Neighborhood," whose life is transformed through his encounters with Fred Rogers.
  • B. Sidney Cutner
    Sidney Cutner was a film composer and orchestrator best known for his work on classic Hollywood movies in the mid-20th century.
  • C. Henry Kravis
    Henry Kravis is an American billionaire businessman and co-founder of the private equity firm Kohlberg Kravis Roberts & Co. (KKR), known as a pioneer of leveraged buyouts.
  • D. Bob Richman
    Bob Richman is an American cinematographer best known for his work on acclaimed documentaries, including the Oscar-winning climate change film "An Inconvenient Truth."
  • E. Mort Goldman
    Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352843d7c8190929b94c94eaa63df completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ec77d081909b07ebd004be136f completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:19 p.m.