Triple

T3077045
Position Surface form Disambiguated ID Type / Status
Subject The Deer Park E64162 entity
Predicate mainCharacter P1183 FINISHED
Object Eitel
Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
E325707 NE FINISHED

How this triple was built (4 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: Eitel | Statement: [The Deer Park, mainCharacter, Eitel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eitel
Context triple: [The Deer Park, mainCharacter, Eitel]
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • C. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eitel
Triple: [The Deer Park, mainCharacter, Eitel]
Generated description
Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eitel
Target entity description: Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • C. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • F. None of above. chosen

Provenance (5 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a5b4108190979654b459990afd completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f88d32a08190b4e18da4b26b534c completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f8f83d10819099feb370fa9f14af completed March 11, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69b1fd02557c81908d42bb1a10024502 completed March 11, 2026, 11:38 p.m.
Created at: March 8, 2026, 3:02 p.m.