Triple

T8513224
Position Surface form Disambiguated ID Type / Status
Subject Ernie Colón E201507 entity
Predicate collaboratedWith P435 FINISHED
Object Sid Jacobson E192763 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: Sid Jacobson | Statement: [Ernie Colón, collaboratedWith, Sid Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sid Jacobson
Context triple: [Ernie Colón, collaboratedWith, Sid Jacobson]
  • A. Sid Jacobson chosen
    Sid Jacobson is an American writer and comics editor best known for his work in graphic novels and nonfiction comics, often in collaboration with artist Ernie Colón.
  • B. Lee Eisenberg
    Lee Eisenberg is an American television writer and producer best known for his work on series such as The Office and Hello Ladies.
  • C. Jake Adelstein
    Jake Adelstein is an American journalist and author best known for his memoir "Tokyo Vice," which chronicles his experiences reporting on crime and the yakuza for a major Japanese newspaper.
  • D. Evan Goldberg
    Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
  • E. Evan Goldberg
    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.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60cdfcc819081a9be1229378ba0 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e4e64f481908ddf99570fe59332 completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.