Triple

T16378397
Position Surface form Disambiguated ID Type / Status
Subject Heartstone E397735 entity
Predicate featuresCharacter P626 FINISHED
Object Jack Barak E1211003 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: Jack Barak | Statement: [Heartstone, featuresCharacter, Jack Barak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Barak
Context triple: [Heartstone, featuresCharacter, Jack Barak]
  • A. Jack Barak chosen
    Jack Barak is a resourceful and streetwise former thief turned loyal assistant and investigator in C. J. Sansom’s Matthew Shardlake historical mystery novels.
  • B. Yaron Varsano
    Yaron Varsano is an Israeli real estate developer and film producer best known as the husband and business partner of actress Gal Gadot.
  • C. Tal Ramon
    Tal Ramon is an Israeli musician and the son of the late astronaut Ilan Ramon and Rona Ramon.
  • D. Eli Barda
    Eli Barda is an Israeli politician who has served as the long-time mayor of the northern city of Migdal HaEmek.
  • E. Zohan Dvir
    Zohan Dvir is the fictional Israeli counterterrorist-turned-hairstylist protagonist played by Adam Sandler in the comedy film "You Don’t Mess with the Zohan."
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d97e00819094aa094f52a5a93e completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457751208190b1e3dd6be3c0f363 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:08 a.m.