Triple

T13630686
Position Surface form Disambiguated ID Type / Status
Subject Herman Teppis E325708 entity
Predicate appearsIn P795 FINISHED
Object The Deer Park E64162 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: The Deer Park | Statement: [Herman Teppis, appearsIn, The Deer Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Deer Park
Context triple: [Herman Teppis, appearsIn, The Deer Park]
  • A. The Deer Park chosen
    The Deer Park is a 1955 novel by American author Norman Mailer that satirically explores Hollywood, power, and moral corruption in postwar America.
  • B. Deer Park
    Deer Park is a regional bottled spring water brand in the United States owned and distributed by Nestlé Waters.
  • C. Deer Park
    Deer Park is the historical site at Sarnath near Varanasi, India, where Gautama Buddha is believed to have delivered his first sermon after attaining enlightenment.
  • D. Deer Park
    Deer Park is a public recreational and wildlife area in Cuttack, India, known for housing deer and providing green space for visitors.
  • E. Deer Park
    Deer Park is a scenic recreational area and wildlife spot in Kurseong, West Bengal, known for its natural surroundings and as a local picnic and sightseeing destination.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9ea9088190a17270dec82bbcaa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794307c288190a0f4629bf5e2b0d9 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:51 p.m.