Triple

T4850005
Position Surface form Disambiguated ID Type / Status
Subject Andy Hertzfeld E108390 entity
Predicate employer P7 FINISHED
Object General Magic E474893 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: General Magic | Statement: [Andy Hertzfeld, employer, General Magic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Magic
Context triple: [Andy Hertzfeld, employer, General Magic]
  • A. General Magic chosen
    General Magic was an influential 1990s Silicon Valley startup that pioneered early smartphone and personal digital assistant technologies, inspiring many later innovations in mobile computing.
  • B. Magic
    Magic is a 2007 studio album by Bruce Springsteen, known for its E Street Band rock sound and politically charged themes.
  • C. Magic
    Magic is a 1978 psychological horror film about a troubled ventriloquist whose relationship with his sinister dummy spirals into violence, featuring a celebrated performance by Anthony Hopkins.
  • D. Magic
    "Magic" is a 1980 soft rock hit by Olivia Newton-John, best known for its dreamy production and chart-topping success from the soundtrack of the film *Xanadu*.
  • E. Magic
    Magic is an American rapper known for his work with No Limit Records in the late 1990s and early 2000s, contributing to the Southern hip hop scene.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1e5cf08190bd6b6a524748f170 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67da14d48190a994a11eb7a674b5 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:25 p.m.