Triple

T7950506
Position Surface form Disambiguated ID Type / Status
Subject Toys E184601 entity
Predicate cinematographyBy P1953 FINISHED
Object Adam Greenberg E302605 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: Adam Greenberg | Statement: [Toys, cinematographyBy, Adam Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Greenberg
Context triple: [Toys, cinematographyBy, Adam Greenberg]
  • A. Adam Greenberg chosen
    Adam Greenberg is an Israeli-American cinematographer best known for his work on films such as "The Terminator," "Terminator 2: Judgment Day," and "Ghost."
  • B. Stan Humphries
    Stan Humphries is an American economist and data scientist best known as the co-creator and former chief economist of Zillow, where he helped develop the company’s home-valuation “Zestimate” model.
  • C. Joe Altobelli
    Joe Altobelli was an American Major League Baseball manager and former player best known for leading the Baltimore Orioles to the 1983 World Series championship.
  • D. John Altobelli
    John Altobelli was a longtime and highly respected Orange Coast College baseball coach who was among those killed in the 2020 Calabasas helicopter crash.
  • E. John Gant
    John Gant is the enigmatic, gunslinging protagonist of the 1959 Western film "No Name on the Bullet," known for his deadly reputation and mysterious motives.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5b7450819091e4e6f21e9d832d completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe04872ec819090819899ed8dfc80 completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:10 p.m.