Triple

T3930756
Position Surface form Disambiguated ID Type / Status
Subject Garry Marshall E90787 entity
Predicate familyName P18 FINISHED
Object Marshall E16065 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: Marshall | Statement: [Garry Marshall, familyName, Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshall
Context triple: [Garry Marshall, familyName, Marshall]
  • A. Marshall chosen
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • B. Marshall
    Marshall is the enthusiastic Dalmatian fire-pup and medic from the PAW Patrol franchise, known for his clumsiness, big heart, and heroic rescues.
  • C. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • D. Warren
    Warren is a rural town in the Orana region of New South Wales, Australia, known for its agriculture and proximity to the Macquarie River.
  • E. Warren
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeda7cf3c81909df30744bddbad7e completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288408f0819090217513e7a21091 completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:23 p.m.