Triple

T15265866
Position Surface form Disambiguated ID Type / Status
Subject Howard Krein E364899 entity
Predicate name P16 FINISHED
Object Howard Krein E364899 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: Howard Krein | Statement: [Howard Krein, name, Howard Krein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Krein
Context triple: [Howard Krein, name, Howard Krein]
  • A. Howard Krein chosen
    Howard Krein is an American otolaryngologist and facial plastic surgeon who is married to Ashley Biden, the daughter of U.S. President Joe Biden.
  • B. Henry Krinsky
    Henry Krinsky, later known as Henry Crown, was a prominent American industrialist and financier who built a vast business empire including Material Service Corporation and a major stake in General Dynamics.
  • C. Howard Klausner
    Howard Klausner is an American screenwriter best known for co-writing the Clint Eastwood film "Space Cowboys" and working on various other feature and television projects.
  • D. Howard Rosenman
    Howard Rosenman is an American film producer known for his work on popular Hollywood movies and for helping bring LGBTQ themes into mainstream cinema.
  • E. Jeremy Kushnier
    Jeremy Kushnier is a Canadian actor and singer best known for his work in musical theatre, including roles in productions like "Rent" and "Footloose."
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e092408190aec1561e78ea0acb completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:14 a.m.