Triple

T3342353
Position Surface form Disambiguated ID Type / Status
Subject Parenthood E70287 entity
Predicate featuresCharacter P626 FINISHED
Object Max Braverman E449178 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: Max Braverman | Statement: [Parenthood, featuresCharacter, Max Braverman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Braverman
Context triple: [Parenthood, featuresCharacter, Max Braverman]
  • A. Myron Futterman
    Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
  • B. Adam Braverman chosen
    Adam Braverman is a central character on the television drama "Parenthood," portrayed as the responsible eldest Braverman sibling juggling family, career, and personal challenges.
  • C. Leon Levy
    Leon Levy was an American investor, philanthropist, and patron of the humanities known for his significant support of archaeology, the arts, and biographical scholarship.
  • D. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • E. Leo Salkin
    Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1ee711481909c0d921f1b5b8562 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0234b6481908dcf37da32cf856b completed March 21, 2026, 12:02 a.m.
Created at: March 8, 2026, 3:12 p.m.