Triple

T5127585
Position Surface form Disambiguated ID Type / Status
Subject Evan Goldberg E115620 entity
Predicate name P16 FINISHED
Object Evan Goldberg E399724 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: Evan Goldberg | Statement: [Evan Goldberg, name, Evan Goldberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Goldberg
Context triple: [Evan Goldberg, name, Evan Goldberg]
  • A. Evan Goldberg
    Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
  • B. Evan Goldberg chosen
    Evan Goldberg is a Canadian screenwriter, director, and producer best known for co-creating and co-writing hit comedies such as Superbad, Pineapple Express, and This Is the End.
  • C. Jason Friedberg
    Jason Friedberg is an American filmmaker best known for co-writing and co-directing a series of parody films, including titles like "Date Movie," "Epic Movie," and "Disaster Movie."
  • D. Seth Rogen
    Seth Rogen is a Canadian actor, comedian, writer, producer, and director known for his distinctive laugh and roles in numerous hit comedy films such as "Superbad," "Pineapple Express," and "Knocked Up."
  • E. Mark Waters
    Mark Waters is an American film director best known for helming popular teen and fantasy comedies such as "Mean Girls" and "Freaky Friday."
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd782428a081909583c7f368226daf completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4beb7b48190a2f4e41a13fdd5f3 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:42 p.m.