Triple

T7992918
Position Surface form Disambiguated ID Type / Status
Subject Jonah Baldwin E186051 entity
Predicate portrayedBy P1507 FINISHED
Object Ross Malinger E180932 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: Ross Malinger | Statement: [Jonah Baldwin, portrayedBy, Ross Malinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross Malinger
Context triple: [Jonah Baldwin, portrayedBy, Ross Malinger]
  • A. Ross Malinger chosen
    Ross Malinger is an American former child actor best known for playing Tom Hanks’s young son in the romantic comedy film "Sleepless in Seattle."
  • B. Malachi Flynn
    Malachi Flynn is an American professional basketball player and standout point guard known for his collegiate success at San Diego State University and subsequent NBA career.
  • C. Jack Heuer
    Jack Heuer is a Swiss watchmaker and former head of TAG Heuer, best known for modernizing the brand and creating iconic chronograph designs.
  • D. Chris DeWolfe
    Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
  • E. Jonathan Stark
    Jonathan Stark is an American actor and television writer best known for his role in the 1985 horror-comedy film "Fright Night" and for his work on sitcoms such as "According to Jim."
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c729afc81909d477b1623ac3f9d completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0fe312c81908c6874fa0aabe7d5 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:16 p.m.